{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.8.10"
    },
    "colab": {
      "name": "supervised_learning_simple_models.ipynb",
      "provenance": []
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3gSv_vIYWCYD"
      },
      "source": [
        "# Supervised learning: simple models"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8rO0X5myWCYa"
      },
      "source": [
        "### Outline <a name = 'outline'></a>\n",
        "* [Data generation](#datasets) \n",
        "    * [Make datasets](#makedata)\n",
        "    * [Load toy dadasets](#loaddata)\n",
        "    * [Fetch real world datasets](#fetchdata)\n",
        "    * [Generate fake datasets](#fakedata)\n",
        "    * [Read data from files](#readdata)\n",
        "* [Decision stump & decision trees](#trees)\n",
        "* [Distance-based models](#knn)\n",
        "* [Naive Baiyes model](#baiyes)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KYyaxC9sYDko",
        "outputId": "67e2255e-056b-4dc7-ad89-b20cea5a3b9f"
      },
      "source": [
        "!pip install faker"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting faker\n",
            "  Downloading Faker-9.8.0-py3-none-any.whl (1.2 MB)\n",
            "\u001b[?25l\r\u001b[K     |▎                               | 10 kB 992 kB/s eta 0:00:02\r\u001b[K     |▌                               | 20 kB 1.9 MB/s eta 0:00:01\r\u001b[K     |▉                               | 30 kB 2.8 MB/s eta 0:00:01\r\u001b[K     |█                               | 40 kB 3.7 MB/s eta 0:00:01\r\u001b[K     |█▍                              | 51 kB 4.4 MB/s eta 0:00:01\r\u001b[K     |█▋                              | 61 kB 5.1 MB/s eta 0:00:01\r\u001b[K     |█▉                              | 71 kB 5.8 MB/s eta 0:00:01\r\u001b[K     |██▏                             | 81 kB 6.5 MB/s eta 0:00:01\r\u001b[K     |██▍                             | 92 kB 7.1 MB/s eta 0:00:01\r\u001b[K     |██▊                             | 102 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |███                             | 112 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |███▏                            | 122 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |███▌                            | 133 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |███▊                            | 143 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |████                            | 153 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |████▎                           | 163 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |████▌                           | 174 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |████▉                           | 184 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |█████                           | 194 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |█████▍                          | 204 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |█████▋                          | 215 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |█████▉                          | 225 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |██████▏                         | 235 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |██████▍                         | 245 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |██████▊                         | 256 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |███████                         | 266 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |███████▎                        | 276 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |███████▌                        | 286 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |███████▊                        | 296 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |████████                        | 307 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |████████▎                       | 317 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |████████▋                       | 327 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |████████▉                       | 337 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |█████████                       | 348 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |█████████▍                      | 358 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |█████████▋                      | 368 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |██████████                      | 378 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |██████████▏                     | 389 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |██████████▍                     | 399 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |██████████▊                     | 409 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |███████████                     | 419 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |███████████▎                    | 430 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |███████████▌                    | 440 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |███████████▊                    | 450 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |████████████                    | 460 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |████████████▎                   | 471 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |████████████▋                   | 481 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |████████████▉                   | 491 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |█████████████▏                  | 501 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |█████████████▍                  | 512 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |█████████████▋                  | 522 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |██████████████                  | 532 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |██████████████▏                 | 542 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |██████████████▌                 | 552 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |██████████████▊                 | 563 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |███████████████                 | 573 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |███████████████▎                | 583 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |███████████████▌                | 593 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |███████████████▉                | 604 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |████████████████                | 614 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |████████████████▎               | 624 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |████████████████▋               | 634 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |████████████████▉               | 645 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |█████████████████▏              | 655 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |█████████████████▍              | 665 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |█████████████████▋              | 675 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |██████████████████              | 686 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |██████████████████▏             | 696 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |██████████████████▌             | 706 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |██████████████████▊             | 716 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |███████████████████             | 727 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |███████████████████▎            | 737 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |███████████████████▌            | 747 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |███████████████████▉            | 757 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |████████████████████            | 768 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |████████████████████▍           | 778 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |████████████████████▋           | 788 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |████████████████████▉           | 798 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |█████████████████████▏          | 808 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |█████████████████████▍          | 819 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |█████████████████████▊          | 829 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |██████████████████████          | 839 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |██████████████████████▏         | 849 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |██████████████████████▌         | 860 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |██████████████████████▊         | 870 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |███████████████████████         | 880 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |███████████████████████▎        | 890 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |███████████████████████▌        | 901 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |███████████████████████▉        | 911 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |████████████████████████        | 921 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |████████████████████████▍       | 931 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |████████████████████████▋       | 942 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |████████████████████████▉       | 952 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |█████████████████████████▏      | 962 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |█████████████████████████▍      | 972 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |█████████████████████████▊      | 983 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |██████████████████████████      | 993 kB 7.7 MB/s eta 0:00:01\r\u001b[K     |██████████████████████████▎     | 1.0 MB 7.7 MB/s eta 0:00:01\r\u001b[K     |██████████████████████████▌     | 1.0 MB 7.7 MB/s eta 0:00:01\r\u001b[K     |██████████████████████████▊     | 1.0 MB 7.7 MB/s eta 0:00:01\r\u001b[K     |███████████████████████████     | 1.0 MB 7.7 MB/s eta 0:00:01\r\u001b[K     |███████████████████████████▎    | 1.0 MB 7.7 MB/s eta 0:00:01\r\u001b[K     |███████████████████████████▋    | 1.1 MB 7.7 MB/s eta 0:00:01\r\u001b[K     |███████████████████████████▉    | 1.1 MB 7.7 MB/s eta 0:00:01\r\u001b[K     |████████████████████████████    | 1.1 MB 7.7 MB/s eta 0:00:01\r\u001b[K     |████████████████████████████▍   | 1.1 MB 7.7 MB/s eta 0:00:01\r\u001b[K     |████████████████████████████▋   | 1.1 MB 7.7 MB/s eta 0:00:01\r\u001b[K     |█████████████████████████████   | 1.1 MB 7.7 MB/s eta 0:00:01\r\u001b[K     |█████████████████████████████▏  | 1.1 MB 7.7 MB/s eta 0:00:01\r\u001b[K     |█████████████████████████████▍  | 1.1 MB 7.7 MB/s eta 0:00:01\r\u001b[K     |█████████████████████████████▊  | 1.1 MB 7.7 MB/s eta 0:00:01\r\u001b[K     |██████████████████████████████  | 1.1 MB 7.7 MB/s eta 0:00:01\r\u001b[K     |██████████████████████████████▎ | 1.2 MB 7.7 MB/s eta 0:00:01\r\u001b[K     |██████████████████████████████▌ | 1.2 MB 7.7 MB/s eta 0:00:01\r\u001b[K     |██████████████████████████████▊ | 1.2 MB 7.7 MB/s eta 0:00:01\r\u001b[K     |███████████████████████████████ | 1.2 MB 7.7 MB/s eta 0:00:01\r\u001b[K     |███████████████████████████████▎| 1.2 MB 7.7 MB/s eta 0:00:01\r\u001b[K     |███████████████████████████████▋| 1.2 MB 7.7 MB/s eta 0:00:01\r\u001b[K     |███████████████████████████████▉| 1.2 MB 7.7 MB/s eta 0:00:01\r\u001b[K     |████████████████████████████████| 1.2 MB 7.7 MB/s \n",
            "\u001b[?25hRequirement already satisfied: python-dateutil>=2.4 in /usr/local/lib/python3.7/dist-packages (from faker) (2.8.2)\n",
            "Requirement already satisfied: text-unidecode==1.3 in /usr/local/lib/python3.7/dist-packages (from faker) (1.3)\n",
            "Collecting typing-extensions>=3.10.0.2\n",
            "  Downloading typing_extensions-3.10.0.2-py3-none-any.whl (26 kB)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.7/dist-packages (from python-dateutil>=2.4->faker) (1.15.0)\n",
            "Installing collected packages: typing-extensions, faker\n",
            "  Attempting uninstall: typing-extensions\n",
            "    Found existing installation: typing-extensions 3.7.4.3\n",
            "    Uninstalling typing-extensions-3.7.4.3:\n",
            "      Successfully uninstalled typing-extensions-3.7.4.3\n",
            "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
            "tensorflow 2.6.0 requires typing-extensions~=3.7.4, but you have typing-extensions 3.10.0.2 which is incompatible.\u001b[0m\n",
            "Successfully installed faker-9.8.0 typing-extensions-3.10.0.2\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "exuCntwyWCYe"
      },
      "source": [
        "import matplotlib\n",
        "from matplotlib import pyplot as plt\n",
        "matplotlib.pyplot.style.use('ggplot')\n",
        "\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "import seaborn as sns\n",
        "import pydotplus \n",
        "from faker import Faker\n",
        "\n",
        "\n",
        "from IPython.display import Image\n",
        "from sklearn import datasets, metrics, model_selection, naive_bayes, neighbors, tree\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "nPm8IkmwWCYj"
      },
      "source": [
        "%matplotlib inline"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_VFcYb27WCYl"
      },
      "source": [
        "## Data generation<a name = 'datasets'> </a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Xf5ByFETWCYm"
      },
      "source": [
        "### Sklearn datasets\n",
        "documentation: http://scikit-learn.org/stable/datasets/"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "OrmdFdquWCYo"
      },
      "source": [
        "[**Functions for generation of classsification or regression problem**](#makedata)\n",
        "* make_classification\n",
        "* make_regression\n",
        "* make_circles\n",
        "* make_checkerboard\n",
        "* etc"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kYYcBJQVWCYr"
      },
      "source": [
        "circles = datasets.make_circles()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bTRk3qDnWCYv",
        "outputId": "2274d790-80e5-46ff-e845-d23d65b1730a"
      },
      "source": [
        "type(circles)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "data": {
            "text/plain": [
              "tuple"
            ]
          },
          "execution_count": 4,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RUMt5L5zWCY1",
        "outputId": "cb6ba2e7-ad50-494b-9744-536d86bfc905"
      },
      "source": [
        "circles[1]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "data": {
            "text/plain": [
              "array([0, 1, 0, 1, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 0, 0, 1, 0,\n",
              "       0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0,\n",
              "       1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0,\n",
              "       1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1,\n",
              "       1, 1, 1, 1, 0, 1, 1, 0, 0, 0, 0, 0], dtype=int64)"
            ]
          },
          "execution_count": 5,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZSyRnFrmWCY3",
        "outputId": "9a718e86-aaca-4d3f-d4c1-b8d3757f1418"
      },
      "source": [
        "print(f'target: {circles[1][:10]}')\n",
        "print(f'features: {circles[0][:10]}')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "target: [0 1 0 1 1 0 0 0 0 1]\n",
            "features: [[ 0.42577929  0.90482705]\n",
            " [ 0.42866144  0.67546234]\n",
            " [-0.18738131  0.98228725]\n",
            " [-0.6472136  -0.4702282 ]\n",
            " [ 0.70104534  0.38540294]\n",
            " [-0.80901699 -0.58778525]\n",
            " [-0.53582679 -0.84432793]\n",
            " [ 0.06279052 -0.99802673]\n",
            " [ 0.06279052  0.99802673]\n",
            " [-0.14990505  0.7858298 ]]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qvMeUwn3WCY5",
        "outputId": "807c5c0d-a0ac-44f5-e053-19e8ab39dba5"
      },
      "source": [
        "data_tuple = circles\n",
        "\n",
        "plt.figure(figsize = (5, 5))\n",
        "\n",
        "plt.scatter(data_tuple[0][:,0], \n",
        "            data_tuple[0][:,1], \n",
        "            c = data_tuple[1], \n",
        "            cmap = matplotlib.colors.ListedColormap(['red', 'grey']),\n",
        "           s = 10)\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 360x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7tY0_8AtWCY8"
      },
      "source": [
        "noisy_circles = datasets.make_circles(noise = 0.1)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-lKwEIv4WCY9"
      },
      "source": [
        "def plot_2d_dataset(data_tuple, size = (5,5), \n",
        "                    colors:list = ['red', 'black']):\n",
        "    \"\"\"Function to generate 2d plot for plain datasets\"\"\"\n",
        "    \n",
        "    #set size\n",
        "    plt.figure(figsize = size)\n",
        "    \n",
        "    #build figure\n",
        "    plt.scatter(list(map(lambda x: x[0], data_tuple[0])), \n",
        "                list(map(lambda x: x[1], data_tuple[0])), \n",
        "                c = data_tuple[1], \n",
        "                cmap = matplotlib.colors.ListedColormap(colors))\n",
        "    \n",
        "    #show figure\n",
        "    plt.show()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "y2-Zd4ygWCZA",
        "outputId": "6529c89a-2cd6-4fdc-f61c-1c082854c67e"
      },
      "source": [
        "plot_2d_dataset(noisy_circles) #, colors = ['violet', 'brown'])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 360x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gxowALqwWCZC"
      },
      "source": [
        "?plot_2d_dataset"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0o-GxPxvWCZF"
      },
      "source": [
        "[back to outline](#outline)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xxcMSjWMWCZG"
      },
      "source": [
        "[**Functions for toy datasets loading **](#loaddata)\n",
        "* load_iris\n",
        "* load_boston\n",
        "* load_diabetes\n",
        "* load_digits\n",
        "* load_linnerud\n",
        "* etc"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zElsCgdTWCZI"
      },
      "source": [
        "**Iris Plants Data Set**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9t2oIwbvWCZJ"
      },
      "source": [
        "iris = datasets.load_iris()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "I_z1PBydWCZM",
        "outputId": "7e944f6e-3a13-4c68-c01f-ae7b4e86dada"
      },
      "source": [
        "iris.keys()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "data": {
            "text/plain": [
              "dict_keys(['data', 'target', 'frame', 'target_names', 'DESCR', 'feature_names', 'filename'])"
            ]
          },
          "execution_count": 13,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DMUnNhNCWCZO",
        "outputId": "9b679aec-b6bb-4742-f697-9ea5ae08b595"
      },
      "source": [
        "print(iris.DESCR)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            ".. _iris_dataset:\n",
            "\n",
            "Iris plants dataset\n",
            "--------------------\n",
            "\n",
            "**Data Set Characteristics:**\n",
            "\n",
            "    :Number of Instances: 150 (50 in each of three classes)\n",
            "    :Number of Attributes: 4 numeric, predictive attributes and the class\n",
            "    :Attribute Information:\n",
            "        - sepal length in cm\n",
            "        - sepal width in cm\n",
            "        - petal length in cm\n",
            "        - petal width in cm\n",
            "        - class:\n",
            "                - Iris-Setosa\n",
            "                - Iris-Versicolour\n",
            "                - Iris-Virginica\n",
            "                \n",
            "    :Summary Statistics:\n",
            "\n",
            "    ============== ==== ==== ======= ===== ====================\n",
            "                    Min  Max   Mean    SD   Class Correlation\n",
            "    ============== ==== ==== ======= ===== ====================\n",
            "    sepal length:   4.3  7.9   5.84   0.83    0.7826\n",
            "    sepal width:    2.0  4.4   3.05   0.43   -0.4194\n",
            "    petal length:   1.0  6.9   3.76   1.76    0.9490  (high!)\n",
            "    petal width:    0.1  2.5   1.20   0.76    0.9565  (high!)\n",
            "    ============== ==== ==== ======= ===== ====================\n",
            "\n",
            "    :Missing Attribute Values: None\n",
            "    :Class Distribution: 33.3% for each of 3 classes.\n",
            "    :Creator: R.A. Fisher\n",
            "    :Donor: Michael Marshall (MARSHALL%PLU@io.arc.nasa.gov)\n",
            "    :Date: July, 1988\n",
            "\n",
            "The famous Iris database, first used by Sir R.A. Fisher. The dataset is taken\n",
            "from Fisher's paper. Note that it's the same as in R, but not as in the UCI\n",
            "Machine Learning Repository, which has two wrong data points.\n",
            "\n",
            "This is perhaps the best known database to be found in the\n",
            "pattern recognition literature.  Fisher's paper is a classic in the field and\n",
            "is referenced frequently to this day.  (See Duda & Hart, for example.)  The\n",
            "data set contains 3 classes of 50 instances each, where each class refers to a\n",
            "type of iris plant.  One class is linearly separable from the other 2; the\n",
            "latter are NOT linearly separable from each other.\n",
            "\n",
            ".. topic:: References\n",
            "\n",
            "   - Fisher, R.A. \"The use of multiple measurements in taxonomic problems\"\n",
            "     Annual Eugenics, 7, Part II, 179-188 (1936); also in \"Contributions to\n",
            "     Mathematical Statistics\" (John Wiley, NY, 1950).\n",
            "   - Duda, R.O., & Hart, P.E. (1973) Pattern Classification and Scene Analysis.\n",
            "     (Q327.D83) John Wiley & Sons.  ISBN 0-471-22361-1.  See page 218.\n",
            "   - Dasarathy, B.V. (1980) \"Nosing Around the Neighborhood: A New System\n",
            "     Structure and Classification Rule for Recognition in Partially Exposed\n",
            "     Environments\".  IEEE Transactions on Pattern Analysis and Machine\n",
            "     Intelligence, Vol. PAMI-2, No. 1, 67-71.\n",
            "   - Gates, G.W. (1972) \"The Reduced Nearest Neighbor Rule\".  IEEE Transactions\n",
            "     on Information Theory, May 1972, 431-433.\n",
            "   - See also: 1988 MLC Proceedings, 54-64.  Cheeseman et al\"s AUTOCLASS II\n",
            "     conceptual clustering system finds 3 classes in the data.\n",
            "   - Many, many more ...\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PMhJTkkUWCZQ",
        "outputId": "4092639e-cec0-449a-8423-8a9b062c42d5"
      },
      "source": [
        "print(f'target names: {iris.target_names}\\n')\n",
        "print(f'feature names: {iris.feature_names}')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "target names: ['setosa' 'versicolor' 'virginica']\n",
            "\n",
            "feature names: ['sepal length (cm)', 'sepal width (cm)', 'petal length (cm)', 'petal width (cm)']\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Lowp6UobWCZU",
        "outputId": "9da0d8ca-9d1c-4cc3-99f8-3822871db571"
      },
      "source": [
        "iris.data[:10]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "data": {
            "text/plain": [
              "array([[5.1, 3.5, 1.4, 0.2],\n",
              "       [4.9, 3. , 1.4, 0.2],\n",
              "       [4.7, 3.2, 1.3, 0.2],\n",
              "       [4.6, 3.1, 1.5, 0.2],\n",
              "       [5. , 3.6, 1.4, 0.2],\n",
              "       [5.4, 3.9, 1.7, 0.4],\n",
              "       [4.6, 3.4, 1.4, 0.3],\n",
              "       [5. , 3.4, 1.5, 0.2],\n",
              "       [4.4, 2.9, 1.4, 0.2],\n",
              "       [4.9, 3.1, 1.5, 0.1]])"
            ]
          },
          "execution_count": 16,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MTg4jplwWCZX",
        "outputId": "fdc39068-4989-4d69-ef26-efc956140d67"
      },
      "source": [
        "iris.target[:10]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "data": {
            "text/plain": [
              "array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0])"
            ]
          },
          "execution_count": 17,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "RF1XjjruWCZZ"
      },
      "source": [
        "**Handwritten Digits Data Set**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "y3G8hsPVWCZa"
      },
      "source": [
        "digits = datasets.load_digits()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "j8dZ41SeWCZa",
        "outputId": "cd5d848f-307f-4e7c-8b4b-d5f8de93c3fd"
      },
      "source": [
        "print(digits['DESCR'])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            ".. _digits_dataset:\n",
            "\n",
            "Optical recognition of handwritten digits dataset\n",
            "--------------------------------------------------\n",
            "\n",
            "**Data Set Characteristics:**\n",
            "\n",
            "    :Number of Instances: 1797\n",
            "    :Number of Attributes: 64\n",
            "    :Attribute Information: 8x8 image of integer pixels in the range 0..16.\n",
            "    :Missing Attribute Values: None\n",
            "    :Creator: E. Alpaydin (alpaydin '@' boun.edu.tr)\n",
            "    :Date: July; 1998\n",
            "\n",
            "This is a copy of the test set of the UCI ML hand-written digits datasets\n",
            "https://archive.ics.uci.edu/ml/datasets/Optical+Recognition+of+Handwritten+Digits\n",
            "\n",
            "The data set contains images of hand-written digits: 10 classes where\n",
            "each class refers to a digit.\n",
            "\n",
            "Preprocessing programs made available by NIST were used to extract\n",
            "normalized bitmaps of handwritten digits from a preprinted form. From a\n",
            "total of 43 people, 30 contributed to the training set and different 13\n",
            "to the test set. 32x32 bitmaps are divided into nonoverlapping blocks of\n",
            "4x4 and the number of on pixels are counted in each block. This generates\n",
            "an input matrix of 8x8 where each element is an integer in the range\n",
            "0..16. This reduces dimensionality and gives invariance to small\n",
            "distortions.\n",
            "\n",
            "For info on NIST preprocessing routines, see M. D. Garris, J. L. Blue, G.\n",
            "T. Candela, D. L. Dimmick, J. Geist, P. J. Grother, S. A. Janet, and C.\n",
            "L. Wilson, NIST Form-Based Handprint Recognition System, NISTIR 5469,\n",
            "1994.\n",
            "\n",
            ".. topic:: References\n",
            "\n",
            "  - C. Kaynak (1995) Methods of Combining Multiple Classifiers and Their\n",
            "    Applications to Handwritten Digit Recognition, MSc Thesis, Institute of\n",
            "    Graduate Studies in Science and Engineering, Bogazici University.\n",
            "  - E. Alpaydin, C. Kaynak (1998) Cascading Classifiers, Kybernetika.\n",
            "  - Ken Tang and Ponnuthurai N. Suganthan and Xi Yao and A. Kai Qin.\n",
            "    Linear dimensionalityreduction using relevance weighted LDA. School of\n",
            "    Electrical and Electronic Engineering Nanyang Technological University.\n",
            "    2005.\n",
            "  - Claudio Gentile. A New Approximate Maximal Margin Classification\n",
            "    Algorithm. NIPS. 2000.\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qIqTwl7CWCZb",
        "outputId": "5e2448d2-9d3b-4e8c-c056-f1202b6cd3da"
      },
      "source": [
        "print(f'example of target: {digits.target[0]}')\n",
        "print(f'example of features: {digits.data[0]}')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "example of target: 0\n",
            "example of features: [ 0.  0.  5. 13.  9.  1.  0.  0.  0.  0. 13. 15. 10. 15.  5.  0.  0.  3.\n",
            " 15.  2.  0. 11.  8.  0.  0.  4. 12.  0.  0.  8.  8.  0.  0.  5.  8.  0.\n",
            "  0.  9.  8.  0.  0.  4. 11.  0.  1. 12.  7.  0.  0.  2. 14.  5. 10. 12.\n",
            "  0.  0.  0.  0.  6. 13. 10.  0.  0.  0.]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "j965Wxt_WCZc",
        "outputId": "ebdae668-7679-4bb3-ff24-ac02fbb21ba4"
      },
      "source": [
        "plt.plot(digits.data[0])\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_ASm8-MIWCZd",
        "outputId": "f6c20cc0-03d3-4548-bada-8468ed493931"
      },
      "source": [
        "digits.keys()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "data": {
            "text/plain": [
              "dict_keys(['data', 'target', 'frame', 'feature_names', 'target_names', 'images', 'DESCR'])"
            ]
          },
          "execution_count": 22,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "n-9v4n9uWCZe",
        "outputId": "4fdc116a-7a5a-4466-eb3f-565a79c86dd6"
      },
      "source": [
        "plt.figure(figsize = (8, 8))\n",
        "\n",
        "plt.subplot(1, 2, 2)\n",
        "plt.imshow(digits.images[0])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "data": {
            "text/plain": [
              "<matplotlib.image.AxesImage at 0x1be4f28b5b0>"
            ]
          },
          "execution_count": 23,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 576x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Q64-UkeUWCZf",
        "outputId": "15abefde-5a58-4187-f08f-69b362b6b14a"
      },
      "source": [
        "plt.figure(figsize = (20, 8))\n",
        "\n",
        "for plot_number, plot in enumerate(digits.images[:10]):\n",
        "    plt.subplot(2, 5, plot_number + 1)\n",
        "    plt.imshow(plot, cmap = 'hot', interpolation = 'gaussian')\n",
        "    plt.title('digit: ' + str(digits.target[plot_number]))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 1440x576 with 10 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2MF8XFJCWCZg"
      },
      "source": [
        "[back to outline](#outline)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "WmS5LDq6WCZg"
      },
      "source": [
        "[**Functions for larger real world datasets loading **](#fetchdata)\n",
        "* fetch_mldata\n",
        "* fetch_kddcup99\n",
        "* fetch_20newsgroups\n",
        "* fetch_california_housing\n",
        "* fetch_lfw_people\n",
        "* etc"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fUVnnPYlWCZh"
      },
      "source": [
        "news_groups = datasets.fetch_20newsgroups(subset = 'test', \n",
        "                                          random_state = 0)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fBhnejT7WCZi",
        "outputId": "ade35414-2d3c-4909-af73-44504a39b6a3"
      },
      "source": [
        "news_groups.keys()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "data": {
            "text/plain": [
              "dict_keys(['data', 'filenames', 'target_names', 'target', 'DESCR'])"
            ]
          },
          "execution_count": 25,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zrwDfp1oWCZk",
        "outputId": "0e2ca17d-1c56-414a-d51a-07e23aea708e"
      },
      "source": [
        "print(f'Target names: {news_groups.target_names}')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Target names: ['alt.atheism', 'comp.graphics', 'comp.os.ms-windows.misc', 'comp.sys.ibm.pc.hardware', 'comp.sys.mac.hardware', 'comp.windows.x', 'misc.forsale', 'rec.autos', 'rec.motorcycles', 'rec.sport.baseball', 'rec.sport.hockey', 'sci.crypt', 'sci.electronics', 'sci.med', 'sci.space', 'soc.religion.christian', 'talk.politics.guns', 'talk.politics.mideast', 'talk.politics.misc', 'talk.religion.misc']\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "g0d37qWvWCZm",
        "outputId": "0234d3da-ce09-4755-c39e-856b1c4ffefb"
      },
      "source": [
        "print(f'example of target: {news_groups.target_names[news_groups.target[0]]}')\n",
        "print(f'example of data piece: {news_groups.data[0]}')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "example of target: rec.autos\n",
            "example of data piece: From: mliggett@silver.ucs.indiana.edu (matthew liggett)\n",
            "Subject: Re: V4 V6 V8 V12 Vx?\n",
            "Nntp-Posting-Host: silver.ucs.indiana.edu\n",
            "Organization: Indiana University\n",
            "Lines: 32\n",
            "\n",
            "In <1993Apr23.132214.6755@cs.tulane.edu> finnegan@nrlssc.navy.mil writes:\n",
            "\n",
            ">In article <Apr22.202724.24131@engr.washington.edu>\n",
            ">eliot@stalfos.engr.washington.edu (eliot) writes:\n",
            ">>\n",
            ">>the subarus all use 180 degree vees in their engines..  :-)\n",
            ">>\n",
            ">>\n",
            ">>eliot\n",
            "\n",
            ">Wouldn't that make them an I4?  Or would they \n",
            ">really be an _4 (henceforth referred to as\n",
            ">\"underscore 4\")?\n",
            "\n",
            "horizontally opposed 4.\n",
            "or 'boxer'\n",
            "great idea, actually..\n",
            "smooth running; low center of gravity..\n",
            "also used in some honda gullwings, corvairs, porsches (others?)\n",
            "...\n",
            "\n",
            ">Kenneth\n",
            ">finnegan@nrlssc.navy.mil\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "-- \n",
            "/-=*=-=*=-=*=-=*=-=*=-=*=-=*=-=*=-=*=-=*=-=*=-=*=-=*=-=*=-=*=-=*=-=*=-=*=-=*=-\\\n",
            "| |\\/|  __   -=> mliggett@silver.ucs.indiana.edu <=- (mliggett@iugold.bitnet  |\n",
            "* |  |/\\||   'junk' collector, toys R us kid, antiauthoritarian, and fan of   *\n",
            "| frogs, iguanas, and other herps.\t\t\t\t\t      |\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "jaRELiIJWCZo"
      },
      "source": [
        "[back to outline](#outline)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "UothWxDzWCZp"
      },
      "source": [
        "[**Fake data generation**](#fakedata)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BH01D_9yWCZp"
      },
      "source": [
        "fake_generator = Faker()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "L15mBwLZWCZq",
        "outputId": "8abad135-ff65-47ae-c327-676312e8bf46"
      },
      "source": [
        "fake_generator.pydict(nb_elements = 10)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "data": {
            "text/plain": [
              "{'top': 'ShPxXWwKiAqiGxryWbxu',\n",
              " 'party': 139015338992.756,\n",
              " 'kitchen': 'vfedmduaLLkWAQjrqgTt',\n",
              " 'security': 'hofjmrmWkgvJndGfaWUy',\n",
              " 'put': 'https://www.graham.com/category/tag/wp-content/login/',\n",
              " 'instead': -7241.38093538953,\n",
              " 'west': datetime.datetime(1976, 8, 2, 6, 2, 52),\n",
              " 'five': 'eZvsHbdyJGUBRSLxjooj',\n",
              " 'school': 1603,\n",
              " 'east': 'pgrant@wilson.com',\n",
              " 'church': 'http://black-foster.biz/tags/explore/terms.html',\n",
              " 'through': 'VukdtbvParWTNUVeHvXl',\n",
              " 'especially': 'fOvCfNIPxKeRgdMeHNsC'}"
            ]
          },
          "execution_count": 29,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zHr0fQ9TWCZr",
        "outputId": "ca4999ac-40a1-43eb-d99c-130362d498b1"
      },
      "source": [
        "fake_generator.pylist(nb_elements = 3)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "data": {
            "text/plain": [
              "[9693]"
            ]
          },
          "execution_count": 30,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-q5i7z-iWCZr",
        "outputId": "fc32a4f9-3d3f-4a32-daf4-66fb7dcbf8bf"
      },
      "source": [
        "fake_generator.pystr()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "data": {
            "text/plain": [
              "'LJOdznGhNwFABOCPXaNd'"
            ]
          },
          "execution_count": 31,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "evUXGZDhWCZs",
        "outputId": "4b37da5d-97b5-4e17-a6f4-cf37b4b0e4f9"
      },
      "source": [
        "#fake dataset with user data\n",
        "pd.DataFrame([fake_generator.simple_profile() for profile_num in range(10)])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>username</th>\n",
              "      <th>name</th>\n",
              "      <th>sex</th>\n",
              "      <th>address</th>\n",
              "      <th>mail</th>\n",
              "      <th>birthdate</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>dana61</td>\n",
              "      <td>Tammy Brown</td>\n",
              "      <td>F</td>\n",
              "      <td>918 Larry Inlet\\nWest Amychester, AR 90861</td>\n",
              "      <td>allen19@yahoo.com</td>\n",
              "      <td>1934-07-13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>carlanderson</td>\n",
              "      <td>Emma Gibson</td>\n",
              "      <td>F</td>\n",
              "      <td>6529 Perry Drives\\nDarrenville, NV 99585</td>\n",
              "      <td>sarahchoi@gmail.com</td>\n",
              "      <td>1970-01-22</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>elizabethwilliams</td>\n",
              "      <td>Vanessa Fisher</td>\n",
              "      <td>F</td>\n",
              "      <td>081 Andrew Field Apt. 301\\nSandraview, MT 66455</td>\n",
              "      <td>campbellwhitney@hotmail.com</td>\n",
              "      <td>1974-04-09</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>kimberly14</td>\n",
              "      <td>William Moore</td>\n",
              "      <td>M</td>\n",
              "      <td>9333 John Manors\\nDuncanfurt, WY 62747</td>\n",
              "      <td>pthompson@hotmail.com</td>\n",
              "      <td>1987-04-17</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>asmith</td>\n",
              "      <td>Heather Summers</td>\n",
              "      <td>F</td>\n",
              "      <td>Unit 2051 Box 8652\\nDPO AA 67527</td>\n",
              "      <td>thorntonjoyce@yahoo.com</td>\n",
              "      <td>2018-03-14</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>kevin11</td>\n",
              "      <td>Anthony Lane</td>\n",
              "      <td>M</td>\n",
              "      <td>USNV Davis\\nFPO AA 59136</td>\n",
              "      <td>mccormickdawn@gmail.com</td>\n",
              "      <td>1983-08-21</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>smithlaura</td>\n",
              "      <td>Daniel Abbott</td>\n",
              "      <td>M</td>\n",
              "      <td>73470 Valentine Roads Apt. 895\\nSamuelborough,...</td>\n",
              "      <td>keith71@gmail.com</td>\n",
              "      <td>2002-02-25</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>michael87</td>\n",
              "      <td>Rebecca Hunter</td>\n",
              "      <td>F</td>\n",
              "      <td>95228 Christine Oval\\nBradleychester, KS 19626</td>\n",
              "      <td>kristingardner@yahoo.com</td>\n",
              "      <td>1996-05-29</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>xballard</td>\n",
              "      <td>Tara Yates MD</td>\n",
              "      <td>F</td>\n",
              "      <td>USCGC Haynes\\nFPO AE 76269</td>\n",
              "      <td>erin00@gmail.com</td>\n",
              "      <td>1911-11-09</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>christopher12</td>\n",
              "      <td>Manuel Baker</td>\n",
              "      <td>M</td>\n",
              "      <td>0418 Derek Pike Apt. 465\\nAndrewsmouth, MT 34727</td>\n",
              "      <td>ritaparrish@hotmail.com</td>\n",
              "      <td>1987-03-09</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "            username             name sex  \\\n",
              "0             dana61      Tammy Brown   F   \n",
              "1       carlanderson      Emma Gibson   F   \n",
              "2  elizabethwilliams   Vanessa Fisher   F   \n",
              "3         kimberly14    William Moore   M   \n",
              "4             asmith  Heather Summers   F   \n",
              "5            kevin11     Anthony Lane   M   \n",
              "6         smithlaura    Daniel Abbott   M   \n",
              "7          michael87   Rebecca Hunter   F   \n",
              "8           xballard    Tara Yates MD   F   \n",
              "9      christopher12     Manuel Baker   M   \n",
              "\n",
              "                                             address  \\\n",
              "0         918 Larry Inlet\\nWest Amychester, AR 90861   \n",
              "1           6529 Perry Drives\\nDarrenville, NV 99585   \n",
              "2    081 Andrew Field Apt. 301\\nSandraview, MT 66455   \n",
              "3             9333 John Manors\\nDuncanfurt, WY 62747   \n",
              "4                   Unit 2051 Box 8652\\nDPO AA 67527   \n",
              "5                           USNV Davis\\nFPO AA 59136   \n",
              "6  73470 Valentine Roads Apt. 895\\nSamuelborough,...   \n",
              "7     95228 Christine Oval\\nBradleychester, KS 19626   \n",
              "8                         USCGC Haynes\\nFPO AE 76269   \n",
              "9   0418 Derek Pike Apt. 465\\nAndrewsmouth, MT 34727   \n",
              "\n",
              "                          mail   birthdate  \n",
              "0            allen19@yahoo.com  1934-07-13  \n",
              "1          sarahchoi@gmail.com  1970-01-22  \n",
              "2  campbellwhitney@hotmail.com  1974-04-09  \n",
              "3        pthompson@hotmail.com  1987-04-17  \n",
              "4      thorntonjoyce@yahoo.com  2018-03-14  \n",
              "5      mccormickdawn@gmail.com  1983-08-21  \n",
              "6            keith71@gmail.com  2002-02-25  \n",
              "7     kristingardner@yahoo.com  1996-05-29  \n",
              "8             erin00@gmail.com  1911-11-09  \n",
              "9      ritaparrish@hotmail.com  1987-03-09  "
            ]
          },
          "execution_count": 33,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rmfBgtRaWCZt",
        "outputId": "31b906f7-be27-49e5-f1a0-472309a6ceb0"
      },
      "source": [
        "print(f'Female name: {fake_generator.name_female()}')\n",
        "print(f'Male name: {fake_generator.name_male()}')\n",
        "print(f'Company: {fake_generator.bs()}')\n",
        "print(f'Country: {fake_generator.country()}')\n",
        "print(f'City: {fake_generator.city()}')\n",
        "print(f'Email: {fake_generator.company_email()}')\n",
        "print(f'Android platform token: {fake_generator.android_platform_token()}')\n",
        "print(f'Geo coordinates: {fake_generator.latlng()}')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Female name: Tara Best\n",
            "Male name: Francisco Haynes\n",
            "Company: whiteboard out-of-the-box content\n",
            "Country: United Kingdom\n",
            "City: Mackenziehaven\n",
            "Email: tamara65@king.com\n",
            "Android platform token: Android 3.2.5\n",
            "Geo coordinates: (Decimal('-52.9243965'), Decimal('-172.805419'))\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HH8-0tImWCZu"
      },
      "source": [
        "ru_fake_generator = Faker(['ru_Ru'])"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kmXB8qu6WCZv",
        "outputId": "a84370bb-cfc5-4402-8c21-4152698bdff3"
      },
      "source": [
        "print(f'Female name: {ru_fake_generator.name_female()}')\n",
        "print(f'Male name: {ru_fake_generator.name_male()}')\n",
        "print(f'Company: {ru_fake_generator.bs()}')\n",
        "print(f'Country: {ru_fake_generator.country()}')\n",
        "print(f'City: {ru_fake_generator.city()}')\n",
        "print(f'Email: {ru_fake_generator.company_email()}')\n",
        "print(f'Android platform token: {ru_fake_generator.android_platform_token()}')\n",
        "print(f'Geo coordinates: {ru_fake_generator.latlng()}')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Female name: Мария Юрьевна Исакова\n",
            "Male name: Рюрик Васильевич Воронов\n",
            "Company: Включение прибыльных метрик\n",
            "Country: Джибути\n",
            "City: д. Новгород Великий\n",
            "Email: firskomarov@npo.net\n",
            "Android platform token: Android 3.1\n",
            "Geo coordinates: (Decimal('87.5461835'), Decimal('141.962704'))\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CaoWnp4hWCZw",
        "outputId": "2b7e6e37-7018-4665-ae47-4255e910abf0"
      },
      "source": [
        "#fake dataset with user data\n",
        "pd.DataFrame([ru_fake_generator.simple_profile() for profile_num in range(10)])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>username</th>\n",
              "      <th>name</th>\n",
              "      <th>sex</th>\n",
              "      <th>address</th>\n",
              "      <th>mail</th>\n",
              "      <th>birthdate</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>rogovpanfil</td>\n",
              "      <td>Регина Георгиевна Горбачева</td>\n",
              "      <td>F</td>\n",
              "      <td>ст. Красновишерск, пр. Камский, д. 304 стр. 6/...</td>\n",
              "      <td>lukija_91@yandex.ru</td>\n",
              "      <td>1943-07-30</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>loginovamarfa</td>\n",
              "      <td>Мефодий Димитриевич Архипов</td>\n",
              "      <td>M</td>\n",
              "      <td>г. Сасово, ш. Свободное, д. 71 стр. 949, 029226</td>\n",
              "      <td>jan08@rambler.ru</td>\n",
              "      <td>2007-12-14</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>foma43</td>\n",
              "      <td>Максим Данилович Бобров</td>\n",
              "      <td>M</td>\n",
              "      <td>г. Бугульма, ш. Розы Люксембург, д. 85 стр. 36...</td>\n",
              "      <td>emeljanovalora@gmail.com</td>\n",
              "      <td>1951-05-22</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>ltimofeeva</td>\n",
              "      <td>Юлия Натановна Савельева</td>\n",
              "      <td>F</td>\n",
              "      <td>г. Мелеуз, ш. Пирогова, д. 23 к. 5/2, 093587</td>\n",
              "      <td>svjatopolklitkin@mail.ru</td>\n",
              "      <td>1991-07-02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>kiselevernest</td>\n",
              "      <td>Евпраксия Вадимовна Емельянова</td>\n",
              "      <td>F</td>\n",
              "      <td>к. Анива, алл. Волкова, д. 8 стр. 53, 959252</td>\n",
              "      <td>semenovadrian@mail.ru</td>\n",
              "      <td>1974-02-28</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>ermolasubbotin</td>\n",
              "      <td>Вера Кирилловна Павлова</td>\n",
              "      <td>F</td>\n",
              "      <td>д. Бодайбо, наб. Медицинская, д. 30, 037780</td>\n",
              "      <td>lukadavidov@hotmail.com</td>\n",
              "      <td>2002-11-23</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>onufri26</td>\n",
              "      <td>Максимильян Филимонович Никонов</td>\n",
              "      <td>M</td>\n",
              "      <td>ст. Верхотурье, ш. Специалистов, д. 376, 877956</td>\n",
              "      <td>alla_83@mail.ru</td>\n",
              "      <td>1910-08-28</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>konon1979</td>\n",
              "      <td>Милица Ждановна Максимова</td>\n",
              "      <td>F</td>\n",
              "      <td>с. Красногорск (Моск.), пр. Громова, д. 966 к....</td>\n",
              "      <td>solomonlukin@yandex.ru</td>\n",
              "      <td>1992-04-21</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>valerjan_59</td>\n",
              "      <td>Селезнева Полина Станиславовна</td>\n",
              "      <td>F</td>\n",
              "      <td>клх Сунтар, бул. Стадионный, д. 1/1 к. 59, 079123</td>\n",
              "      <td>arkadiprohorov@mail.ru</td>\n",
              "      <td>1920-03-25</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>fadeevernest</td>\n",
              "      <td>Трофимова Антонина Вадимовна</td>\n",
              "      <td>F</td>\n",
              "      <td>ст. Волоколамск, ш. Азовское, д. 95 к. 863, 56...</td>\n",
              "      <td>zaharovevstigne@hotmail.com</td>\n",
              "      <td>1918-07-28</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "         username                             name sex  \\\n",
              "0     rogovpanfil      Регина Георгиевна Горбачева   F   \n",
              "1   loginovamarfa      Мефодий Димитриевич Архипов   M   \n",
              "2          foma43          Максим Данилович Бобров   M   \n",
              "3      ltimofeeva         Юлия Натановна Савельева   F   \n",
              "4   kiselevernest   Евпраксия Вадимовна Емельянова   F   \n",
              "5  ermolasubbotin          Вера Кирилловна Павлова   F   \n",
              "6        onufri26  Максимильян Филимонович Никонов   M   \n",
              "7       konon1979        Милица Ждановна Максимова   F   \n",
              "8     valerjan_59   Селезнева Полина Станиславовна   F   \n",
              "9    fadeevernest     Трофимова Антонина Вадимовна   F   \n",
              "\n",
              "                                             address  \\\n",
              "0  ст. Красновишерск, пр. Камский, д. 304 стр. 6/...   \n",
              "1    г. Сасово, ш. Свободное, д. 71 стр. 949, 029226   \n",
              "2  г. Бугульма, ш. Розы Люксембург, д. 85 стр. 36...   \n",
              "3       г. Мелеуз, ш. Пирогова, д. 23 к. 5/2, 093587   \n",
              "4       к. Анива, алл. Волкова, д. 8 стр. 53, 959252   \n",
              "5        д. Бодайбо, наб. Медицинская, д. 30, 037780   \n",
              "6    ст. Верхотурье, ш. Специалистов, д. 376, 877956   \n",
              "7  с. Красногорск (Моск.), пр. Громова, д. 966 к....   \n",
              "8  клх Сунтар, бул. Стадионный, д. 1/1 к. 59, 079123   \n",
              "9  ст. Волоколамск, ш. Азовское, д. 95 к. 863, 56...   \n",
              "\n",
              "                          mail   birthdate  \n",
              "0          lukija_91@yandex.ru  1943-07-30  \n",
              "1             jan08@rambler.ru  2007-12-14  \n",
              "2     emeljanovalora@gmail.com  1951-05-22  \n",
              "3     svjatopolklitkin@mail.ru  1991-07-02  \n",
              "4        semenovadrian@mail.ru  1974-02-28  \n",
              "5      lukadavidov@hotmail.com  2002-11-23  \n",
              "6              alla_83@mail.ru  1910-08-28  \n",
              "7       solomonlukin@yandex.ru  1992-04-21  \n",
              "8       arkadiprohorov@mail.ru  1920-03-25  \n",
              "9  zaharovevstigne@hotmail.com  1918-07-28  "
            ]
          },
          "execution_count": 35,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6YDXX4tHWCZx"
      },
      "source": [
        "[back to outline](#outline)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "FR9DOVUDWCZx"
      },
      "source": [
        "[**Reading data from local files**](#readdata)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JAPNMVJoWCZy"
      },
      "source": [
        "bikes = pd.read_csv('bikes_demand_prediction.csv', header =  0, sep = ',')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "D-1HZ_6QWCZy",
        "outputId": "dcd51d15-08fa-43c4-d0cb-3c3002a83f3b"
      },
      "source": [
        "bikes"
      ],
      "execution_count": null,
      "outputs": [
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>datetime</th>\n",
              "      <th>season</th>\n",
              "      <th>holiday</th>\n",
              "      <th>workingday</th>\n",
              "      <th>weather</th>\n",
              "      <th>temp</th>\n",
              "      <th>atemp</th>\n",
              "      <th>humidity</th>\n",
              "      <th>windspeed</th>\n",
              "      <th>casual</th>\n",
              "      <th>registered</th>\n",
              "      <th>count</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2011-01-01 00:00:00</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>9.84</td>\n",
              "      <td>14.395</td>\n",
              "      <td>81</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>3</td>\n",
              "      <td>13</td>\n",
              "      <td>16</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2011-01-01 01:00:00</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>9.02</td>\n",
              "      <td>13.635</td>\n",
              "      <td>80</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>8</td>\n",
              "      <td>32</td>\n",
              "      <td>40</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2011-01-01 02:00:00</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>9.02</td>\n",
              "      <td>13.635</td>\n",
              "      <td>80</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>5</td>\n",
              "      <td>27</td>\n",
              "      <td>32</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2011-01-01 03:00:00</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>9.84</td>\n",
              "      <td>14.395</td>\n",
              "      <td>75</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>3</td>\n",
              "      <td>10</td>\n",
              "      <td>13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2011-01-01 04:00:00</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>9.84</td>\n",
              "      <td>14.395</td>\n",
              "      <td>75</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10881</th>\n",
              "      <td>2012-12-19 19:00:00</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>15.58</td>\n",
              "      <td>19.695</td>\n",
              "      <td>50</td>\n",
              "      <td>26.0027</td>\n",
              "      <td>7</td>\n",
              "      <td>329</td>\n",
              "      <td>336</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10882</th>\n",
              "      <td>2012-12-19 20:00:00</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>14.76</td>\n",
              "      <td>17.425</td>\n",
              "      <td>57</td>\n",
              "      <td>15.0013</td>\n",
              "      <td>10</td>\n",
              "      <td>231</td>\n",
              "      <td>241</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10883</th>\n",
              "      <td>2012-12-19 21:00:00</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>13.94</td>\n",
              "      <td>15.910</td>\n",
              "      <td>61</td>\n",
              "      <td>15.0013</td>\n",
              "      <td>4</td>\n",
              "      <td>164</td>\n",
              "      <td>168</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10884</th>\n",
              "      <td>2012-12-19 22:00:00</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>13.94</td>\n",
              "      <td>17.425</td>\n",
              "      <td>61</td>\n",
              "      <td>6.0032</td>\n",
              "      <td>12</td>\n",
              "      <td>117</td>\n",
              "      <td>129</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10885</th>\n",
              "      <td>2012-12-19 23:00:00</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>13.12</td>\n",
              "      <td>16.665</td>\n",
              "      <td>66</td>\n",
              "      <td>8.9981</td>\n",
              "      <td>4</td>\n",
              "      <td>84</td>\n",
              "      <td>88</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>10886 rows × 12 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                  datetime  season  holiday  workingday  weather   temp  \\\n",
              "0      2011-01-01 00:00:00       1        0           0        1   9.84   \n",
              "1      2011-01-01 01:00:00       1        0           0        1   9.02   \n",
              "2      2011-01-01 02:00:00       1        0           0        1   9.02   \n",
              "3      2011-01-01 03:00:00       1        0           0        1   9.84   \n",
              "4      2011-01-01 04:00:00       1        0           0        1   9.84   \n",
              "...                    ...     ...      ...         ...      ...    ...   \n",
              "10881  2012-12-19 19:00:00       4        0           1        1  15.58   \n",
              "10882  2012-12-19 20:00:00       4        0           1        1  14.76   \n",
              "10883  2012-12-19 21:00:00       4        0           1        1  13.94   \n",
              "10884  2012-12-19 22:00:00       4        0           1        1  13.94   \n",
              "10885  2012-12-19 23:00:00       4        0           1        1  13.12   \n",
              "\n",
              "        atemp  humidity  windspeed  casual  registered  count  \n",
              "0      14.395        81     0.0000       3          13     16  \n",
              "1      13.635        80     0.0000       8          32     40  \n",
              "2      13.635        80     0.0000       5          27     32  \n",
              "3      14.395        75     0.0000       3          10     13  \n",
              "4      14.395        75     0.0000       0           1      1  \n",
              "...       ...       ...        ...     ...         ...    ...  \n",
              "10881  19.695        50    26.0027       7         329    336  \n",
              "10882  17.425        57    15.0013      10         231    241  \n",
              "10883  15.910        61    15.0013       4         164    168  \n",
              "10884  17.425        61     6.0032      12         117    129  \n",
              "10885  16.665        66     8.9981       4          84     88  \n",
              "\n",
              "[10886 rows x 12 columns]"
            ]
          },
          "execution_count": 37,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QzT7D_GWWCZ2",
        "outputId": "9a26d2bb-25d6-47aa-d51a-05f52d60aedf"
      },
      "source": [
        "bikes.loc[5:15, ['datetime', 'count']]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>datetime</th>\n",
              "      <th>count</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>2011-01-01 05:00:00</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>2011-01-01 06:00:00</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>2011-01-01 07:00:00</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>2011-01-01 08:00:00</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>2011-01-01 09:00:00</td>\n",
              "      <td>14</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>2011-01-01 10:00:00</td>\n",
              "      <td>36</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>2011-01-01 11:00:00</td>\n",
              "      <td>56</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>2011-01-01 12:00:00</td>\n",
              "      <td>84</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>2011-01-01 13:00:00</td>\n",
              "      <td>94</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>2011-01-01 14:00:00</td>\n",
              "      <td>106</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>2011-01-01 15:00:00</td>\n",
              "      <td>110</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "               datetime  count\n",
              "5   2011-01-01 05:00:00      1\n",
              "6   2011-01-01 06:00:00      2\n",
              "7   2011-01-01 07:00:00      3\n",
              "8   2011-01-01 08:00:00      8\n",
              "9   2011-01-01 09:00:00     14\n",
              "10  2011-01-01 10:00:00     36\n",
              "11  2011-01-01 11:00:00     56\n",
              "12  2011-01-01 12:00:00     84\n",
              "13  2011-01-01 13:00:00     94\n",
              "14  2011-01-01 14:00:00    106\n",
              "15  2011-01-01 15:00:00    110"
            ]
          },
          "execution_count": 38,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "i5WXJo_PWCZ3",
        "outputId": "adfc90d7-eab5-493d-8ecc-606d612322c9"
      },
      "source": [
        "bikes.info()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 10886 entries, 0 to 10885\n",
            "Data columns (total 12 columns):\n",
            " #   Column      Non-Null Count  Dtype  \n",
            "---  ------      --------------  -----  \n",
            " 0   datetime    10886 non-null  object \n",
            " 1   season      10886 non-null  int64  \n",
            " 2   holiday     10886 non-null  int64  \n",
            " 3   workingday  10886 non-null  int64  \n",
            " 4   weather     10886 non-null  int64  \n",
            " 5   temp        10886 non-null  float64\n",
            " 6   atemp       10886 non-null  float64\n",
            " 7   humidity    10886 non-null  int64  \n",
            " 8   windspeed   10886 non-null  float64\n",
            " 9   casual      10886 non-null  int64  \n",
            " 10  registered  10886 non-null  int64  \n",
            " 11  count       10886 non-null  int64  \n",
            "dtypes: float64(3), int64(8), object(1)\n",
            "memory usage: 1020.7+ KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WRJ_GkGCWCZ4",
        "outputId": "dab1e522-2146-4d2a-8bde-14ed71396edd"
      },
      "source": [
        "bikes.describe()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>season</th>\n",
              "      <th>holiday</th>\n",
              "      <th>workingday</th>\n",
              "      <th>weather</th>\n",
              "      <th>temp</th>\n",
              "      <th>atemp</th>\n",
              "      <th>humidity</th>\n",
              "      <th>windspeed</th>\n",
              "      <th>casual</th>\n",
              "      <th>registered</th>\n",
              "      <th>count</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>10886.000000</td>\n",
              "      <td>10886.000000</td>\n",
              "      <td>10886.000000</td>\n",
              "      <td>10886.000000</td>\n",
              "      <td>10886.00000</td>\n",
              "      <td>10886.000000</td>\n",
              "      <td>10886.000000</td>\n",
              "      <td>10886.000000</td>\n",
              "      <td>10886.000000</td>\n",
              "      <td>10886.000000</td>\n",
              "      <td>10886.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>2.506614</td>\n",
              "      <td>0.028569</td>\n",
              "      <td>0.680875</td>\n",
              "      <td>1.418427</td>\n",
              "      <td>20.23086</td>\n",
              "      <td>23.655084</td>\n",
              "      <td>61.886460</td>\n",
              "      <td>12.799395</td>\n",
              "      <td>36.021955</td>\n",
              "      <td>155.552177</td>\n",
              "      <td>191.574132</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>1.116174</td>\n",
              "      <td>0.166599</td>\n",
              "      <td>0.466159</td>\n",
              "      <td>0.633839</td>\n",
              "      <td>7.79159</td>\n",
              "      <td>8.474601</td>\n",
              "      <td>19.245033</td>\n",
              "      <td>8.164537</td>\n",
              "      <td>49.960477</td>\n",
              "      <td>151.039033</td>\n",
              "      <td>181.144454</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.82000</td>\n",
              "      <td>0.760000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>2.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>13.94000</td>\n",
              "      <td>16.665000</td>\n",
              "      <td>47.000000</td>\n",
              "      <td>7.001500</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>36.000000</td>\n",
              "      <td>42.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>3.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>20.50000</td>\n",
              "      <td>24.240000</td>\n",
              "      <td>62.000000</td>\n",
              "      <td>12.998000</td>\n",
              "      <td>17.000000</td>\n",
              "      <td>118.000000</td>\n",
              "      <td>145.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>4.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>26.24000</td>\n",
              "      <td>31.060000</td>\n",
              "      <td>77.000000</td>\n",
              "      <td>16.997900</td>\n",
              "      <td>49.000000</td>\n",
              "      <td>222.000000</td>\n",
              "      <td>284.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>4.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>41.00000</td>\n",
              "      <td>45.455000</td>\n",
              "      <td>100.000000</td>\n",
              "      <td>56.996900</td>\n",
              "      <td>367.000000</td>\n",
              "      <td>886.000000</td>\n",
              "      <td>977.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "             season       holiday    workingday       weather         temp  \\\n",
              "count  10886.000000  10886.000000  10886.000000  10886.000000  10886.00000   \n",
              "mean       2.506614      0.028569      0.680875      1.418427     20.23086   \n",
              "std        1.116174      0.166599      0.466159      0.633839      7.79159   \n",
              "min        1.000000      0.000000      0.000000      1.000000      0.82000   \n",
              "25%        2.000000      0.000000      0.000000      1.000000     13.94000   \n",
              "50%        3.000000      0.000000      1.000000      1.000000     20.50000   \n",
              "75%        4.000000      0.000000      1.000000      2.000000     26.24000   \n",
              "max        4.000000      1.000000      1.000000      4.000000     41.00000   \n",
              "\n",
              "              atemp      humidity     windspeed        casual    registered  \\\n",
              "count  10886.000000  10886.000000  10886.000000  10886.000000  10886.000000   \n",
              "mean      23.655084     61.886460     12.799395     36.021955    155.552177   \n",
              "std        8.474601     19.245033      8.164537     49.960477    151.039033   \n",
              "min        0.760000      0.000000      0.000000      0.000000      0.000000   \n",
              "25%       16.665000     47.000000      7.001500      4.000000     36.000000   \n",
              "50%       24.240000     62.000000     12.998000     17.000000    118.000000   \n",
              "75%       31.060000     77.000000     16.997900     49.000000    222.000000   \n",
              "max       45.455000    100.000000     56.996900    367.000000    886.000000   \n",
              "\n",
              "              count  \n",
              "count  10886.000000  \n",
              "mean     191.574132  \n",
              "std      181.144454  \n",
              "min        1.000000  \n",
              "25%       42.000000  \n",
              "50%      145.000000  \n",
              "75%      284.000000  \n",
              "max      977.000000  "
            ]
          },
          "execution_count": 40,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "KKCw5wxOWCZ5"
      },
      "source": [
        "[back to outline](#outline)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "fKYqFi-sWCZ5"
      },
      "source": [
        "## Decision stump & decision trees <a name = 'trees'></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "eqQXOdXCWCZ6"
      },
      "source": [
        "#data generation\n",
        "classification_problem = datasets.make_classification(n_features = 2, n_informative = 2, \n",
        "                                                      n_classes = 3, n_redundant = 0, \n",
        "                                                      n_clusters_per_class = 1, \n",
        "                                                      random_state = 0)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 324
        },
        "id": "EOWxjDlVWCZ6",
        "outputId": "ce0c2cab-3fc4-4cc1-ca89-aec70cf37cf7"
      },
      "source": [
        "plot_2d_dataset(classification_problem, colors = ['red', 'black', 'orange'])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 360x360 with 1 Axes>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RwXKTxCLWCZ7"
      },
      "source": [
        "#data train/test split\n",
        "train_data, test_data, train_labels, test_labels = model_selection.train_test_split(\n",
        "    classification_problem[0], \n",
        "    classification_problem[1],\n",
        "    test_size = 0.3,\n",
        "    random_state = 0)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "HloqENEgWCZ8",
        "outputId": "73467cbb-f48e-41f2-e5f4-160b19578d16"
      },
      "source": [
        "#model training\n",
        "clf = tree.DecisionTreeClassifier(random_state = 0, max_depth = 1)\n",
        "clf.fit(train_data, train_labels)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',\n",
              "                       max_depth=1, max_features=None, max_leaf_nodes=None,\n",
              "                       min_impurity_decrease=0.0, min_impurity_split=None,\n",
              "                       min_samples_leaf=1, min_samples_split=2,\n",
              "                       min_weight_fraction_leaf=0.0, presort='deprecated',\n",
              "                       random_state=0, splitter='best')"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rfJow78hWCZ8"
      },
      "source": [
        "predictions = clf.predict(test_data)\n",
        "#metrics.accuracy_score(test_labels, predictions)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "PF-EL9SXWCZ9",
        "outputId": "2afca28d-e56b-4081-d5d5-c38d804bb01a"
      },
      "source": [
        "metrics.accuracy_score(test_labels, predictions)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.6666666666666666"
            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Qx801B5uWCZ-",
        "outputId": "8b60efcc-9716-4a75-f9ef-62d021cee0bf"
      },
      "source": [
        "test_labels"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([2, 1, 1, 1, 0, 0, 0, 2, 0, 2, 1, 1, 1, 1, 0, 2, 1, 1, 0, 2, 2, 0,\n",
              "       1, 0, 2, 2, 1, 0, 2, 0])"
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Fwa1y-RcWCZ-",
        "outputId": "f4b008cd-cb49-4651-9c14-1e0d75310804"
      },
      "source": [
        "predictions"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([1, 1, 1, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 1, 1, 1, 0, 0, 1, 0,\n",
              "       1, 0, 1, 0, 1, 1, 0, 0])"
            ]
          },
          "metadata": {},
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yLcp5RLMWCZ_"
      },
      "source": [
        "#helper functions for separating surface visualization\n",
        "\n",
        "colors = matplotlib.colors.ListedColormap(['red', 'black', 'orange'])\n",
        "light_colors = matplotlib.colors.ListedColormap(['lightcoral', 'silver', 'bisque'])\n",
        "\n",
        "def get_meshgrid(data, step = .05, border = .5,):\n",
        "    x_min, x_max = data[:, 0].min() - border, data[:, 0].max() + border\n",
        "    y_min, y_max = data[:, 1].min() - border, data[:, 1].max() + border\n",
        "    return np.meshgrid(np.arange(x_min, x_max, step), np.arange(y_min, y_max, step))\n",
        "\n",
        "\n",
        "def plot_decision_surface(estimator, train_data, train_labels, test_data, test_labels, \n",
        "                          colors = colors, light_colors = light_colors):\n",
        "    #fit model\n",
        "    estimator.fit(train_data, train_labels)\n",
        "    \n",
        "    #set figure size\n",
        "    plt.figure(figsize = (16, 6))\n",
        "    \n",
        "    #plot decision surface on the train data \n",
        "    plt.subplot(1,2,1)\n",
        "    xx, yy = get_meshgrid(train_data)\n",
        "    mesh_predictions = np.array(\n",
        "        estimator.predict(np.c_[xx.ravel(), yy.ravel()])).reshape(xx.shape)\n",
        "    \n",
        "    plt.pcolormesh(xx, \n",
        "                      yy, \n",
        "                      mesh_predictions, \n",
        "                      cmap = light_colors)\n",
        "    \n",
        "    plt.scatter(train_data[:, 0], \n",
        "                   train_data[:, 1], \n",
        "                   c = train_labels, \n",
        "                   s = 100, \n",
        "                   cmap = colors)\n",
        "    \n",
        "    plt.title('Train data, accuracy={:.2f}'.format(metrics.accuracy_score(\n",
        "        train_labels, estimator.predict(train_data))))\n",
        "    \n",
        "    #plot decision surface on the test data\n",
        "    plt.subplot(1,2,2)\n",
        "    #xx, yy = get_meshgrid(test_data)\n",
        "    #mesh_predictions = np.array(\n",
        "    #    estimator.predict(np.c_[xx.ravel(), yy.ravel()])).reshape(xx.shape)\n",
        "    plt.pcolormesh(xx, \n",
        "                   yy, \n",
        "                   mesh_predictions, \n",
        "                   cmap = light_colors)\n",
        "    \n",
        "    plt.scatter(test_data[:, 0], \n",
        "                test_data[:, 1], \n",
        "                c = test_labels, \n",
        "                s = 100, \n",
        "                cmap = colors)\n",
        "    \n",
        "    plt.title('Test data, accuracy={:.2f}'.format(metrics.accuracy_score(\n",
        "        test_labels, estimator.predict(test_data))))"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 337
        },
        "id": "UUx2gOGOWCaB",
        "outputId": "d6f41aeb-deb1-483d-a5f3-358132d8eadc"
      },
      "source": [
        "estimator = tree.DecisionTreeClassifier(random_state = 0, max_depth = 4) #, max_depth = 4)\n",
        "\n",
        "plot_decision_surface(estimator, train_data, train_labels, test_data, test_labels)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 1152x432 with 2 Axes>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zq7uQc-TWCaD"
      },
      "source": [
        "dot_data = tree.export_graphviz(estimator, out_file=\"graphviz/small_tree.out\", \n",
        "                         feature_names=['x', 'y'],  \n",
        "                         class_names=['red', 'black', 'orange'],  \n",
        "                         filled=True, rounded=True,  \n",
        "                         special_characters=True)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "S0_NDMnSWCaD",
        "outputId": "ced4314d-b264-46a5-a0d4-e1a377ecc923"
      },
      "source": [
        "graph = pydotplus.graphviz.graph_from_dot_file(\"graphviz/small_tree.out\")  \n",
        "Image(graph.create_png())"
      ],
      "execution_count": null,
      "outputs": [
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "execution_count": 55,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "crOyVDKLWCaF"
      },
      "source": [
        "[back to outline](#outline)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "haTJJrgEWCaH"
      },
      "source": [
        "## Distance-based models <a name = 'knn'></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ymwC2Ot-WCaH",
        "outputId": "149d51f8-49e5-44d2-9617-d09d4c51a920"
      },
      "source": [
        "estimator = neighbors.KNeighborsClassifier(n_neighbors = 1)\n",
        "\n",
        "plot_decision_surface(estimator, train_data, train_labels, test_data, test_labels)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 1152x432 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5JDrdYznWCaI",
        "outputId": "caf3df94-f622-4851-a93b-fd9584d5ef84"
      },
      "source": [
        "estimator = neighbors.KNeighborsClassifier(n_neighbors = 3)\n",
        "\n",
        "plot_decision_surface(estimator, train_data, train_labels, test_data, test_labels)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 1152x432 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CtwvnqlCWCaJ",
        "outputId": "d4cd7fb0-6341-4c7d-9fe1-25457d14f62b"
      },
      "source": [
        "estimator = neighbors.KNeighborsClassifier(n_neighbors = 10)\n",
        "\n",
        "plot_decision_surface(estimator, train_data, train_labels, test_data, test_labels)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 1152x432 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QEZi5eP5WCaK",
        "outputId": "aa938fb6-6df5-406e-dcac-94f442052821"
      },
      "source": [
        "estimator = neighbors.KNeighborsClassifier(n_neighbors = 10, weights = 'distance')\n",
        "\n",
        "plot_decision_surface(estimator, train_data, train_labels, test_data, test_labels)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAA6AAAAF2CAYAAABwPfWqAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjAsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+17YcXAAAgAElEQVR4nOzdeXhb5Z33//etxZLXOHY2Z0/IQkKAhJCGNUnD3gLDUlyWEspS2l+n0JbQZ+jMdPq0U5iWss/Mjw4wDAXKFFPKUpawh7CGLIQkZCMLcXYvcRzHlmVZOs8fRw6yY0uyLWvz53VduojOuXXO98hCt77n3oxlWYiIiIiIiIj0NUeqAxAREREREZH+QQmoiIiIiIiIJIUSUBEREREREUkKJaAiIiIiIiKSFEpARUREREREJCmUgIqIiIiIiEhSKAGVlDLGHG2MsYwxJ2bSsUVERCR+xpi9xphbUx2HiKSeElCJKpzARXt82ctTfAGUAat6H23vGWN+Y4zZkOo4xGaMKTDGPGaM+cwY02KMWduN1/6dMWaNMcZvjNlqjPlRJ2WmGmPeNMY0GWOqjTH/YYzJTexViIj0nSTU023nucEY05yIY8V5vjPD8Q9L1jklOmNMjjHmHmPMPmOMzxjzrjHm+Dhed44x5kNjzEFjTK0xZpExZnrE/h9E+fxe0LdXJamgBFRiKYt4/F1429cits3q7EXGmJx4Dm5ZVtCyrL2WZbUmIFbpAWNzpzqOLriAZuD/B56N90XGmFPD5Z8DjgfuAO4xxnw3okwx8DZwCDgZuBK4CHgwQbGLiCRDj+ppSU/x/n5KkQeAq4BrsT9ju4G3jDGDunqBMWYC8CLwETAT+DrQArxujPGEi/2R9p/jMux6fz/wRp9ciaSWZVl66BHXAzgNsICxnezbC/wSeAj7C+O98PZbgdVAI/YX1ZPAkIjXHR0+5okdnl8CvAo0AZuBb8cR31XAVuyE5b3wMSKP7Qb+O1zGB2wBfgW4w/t/EC4f+bgtvO8aYBlwEKjG/jI9qgfvYdT3I1xmMnbiVBe+/lXA2RH7ZwOvAw3hx8fACeF9vwXWdjjemeFrGRZxnYeAc4DPgEC4zETg+fDfsim879sdjmWAnwAbAD+wD3gqvO93wGedXPP/AosS8Pk74tqilP0r8HaHbf8ObIh4fnP4fciL2HYpEASGp/r/Nz300EOP7j6IXk/nALcD28N14Frg2g5lfghsDNejtcA7wFDg3E7qxz9EiWMmsDRcT2zAvrm3F7g1okyX9SFf/RaIfCwK72urA6vDdeBS4IwevFffAJZg/2Y5gH1D8oQOZYqA/wB2ha9la4drKAMeB6rC79kG4DvhfW3v2aCI8q7wtss7XOe3w9fUBPyGGL9XIo53LvBB+HUHwn+v0cB52Ene0A7lv4/92yK3B+9XCfbvhQUR29zhz8ltUV53ORACciK2zQpf9+QuXuMOf17uTvX/U3r0zUMtoJJIC7ErttnAjeFtIeyEZRpwGTAJeCKOY/0OeBg4Dvgb8LgxZkxXhY0xJ4eP+wR2i9e/A/d1KOYEdmJ/0U/Brvx+GP4v2Hfg7sNOeNvuwP17eF8OdoI9A/sL3w28aIxxxXEtkaK+H8aYkdiViRe7cjwW+HXE/hnAYuwv5nnYlfy/h6+tO7zh496MXQF+ChQCi4Czwuf9I/CUMeaUiNf9Nvy6+8LX8E1gTXjffwHHGmNmR8RbAlyM/bfEGDPJGHMoxmNFN6+lM6eGryXSImByxJ3aU4EllmU1RZR5FbtnyCmIiGSXx7ETk+uAqdg9Qx4wxlwFh3uO3Af8X+wboV8H/hx+7dvYdbyfr+rH/9PZSYwxhdjfpXuwE40bgF8AxR2KRqsPvwDKw/8+Lny+K8LPC8Pl5gAnAu8CLxtjxsX/VgCQH77e2diJ+05gkTFmQPg6HNj1xtnYidsU4HrshBVjTAH2ze6jsZOsqcBPsd+j7roTeBQ4BniE2L9XMMZ8A3gZ+BA4Cbve+l/s3yevYSfN3+1wnhuAJy3L8oWPsSWOOnlI+LWzsRPow3WrZVkB7M/GaVGu7RPsxPV7xhiXMSYf+zO4ATvB7sxF2Dc+HopyXMlkqc6A9cicB7FbQF+O4xgnh49RGn7eVQvoDyNek4P9hX5NlOP+BXirw7ZbI4/dxet+DqyJeP4bIlrJoryuLHzsmb18Tzu+H78HdgDeLso/g90Sa7rYH28LqAXMiiO+14B/D/97IPYd1R9FKf868EjE8x+HPxttrcxuYEKMx+h4r62Lco7w9S3osH1mePux4edLgEc7eX0DcFMi/p/RQw899Ejmo6t6OqJuHddh+x3Ax+F/XwHUAPldHPsGoDmOGH6E3RpXGLHtxPD5b43yuo71Ybu6K8Y5NwILe/neubBbYy8NP/9mZJ3RSfm/x+5FM7SL/d1pAf1ZHPF1/L2yDPhLlPL/iJ3Im/Dz4zteDzA2jjrZGS57HdBKh98f2DfBV8SI/XTshLgV+8bD513V9eHybwLvJOP/GT1S8+hu641INJ903GCMORP4B+wv2WK+Gnc8BrvbRlcOT0pkWVaLMaYG+25YV6Zy5BjB9zuJ54fYYxfGAHnYlUFLlOO2vW4m8C/YX+Cl2F1RCR8n7ha7ON6Pmdjdl7ua6GEm8Gcr/A3dC0FgZYfYCrBbeb+JnWC7AQ9f3c09Nrzt9SjH/S/gj8aYn1qW1YD9g+Uxy75LSvi/m3sZe2/F89719v0VEUknbeNA1xhjIre3JV0ArwD/BHxpjHkDu2Xrr5Zl7e/muaZiJ0oNbRssy1pujPFFFurp74PwpES/wu4FNAy7tTA3/Lq4GWMmho8zGxgcPn/kcWYCeyzLWtP5EZgJrLYsa193ztuFzn4/dfl7xdh/xBmEexd14VHs1ux52F1zvwcsjbwey7K+TEDsEKXONMaMwO5O/DR2N+tc7GT6ZWPMbKt9L6S2MaPzsedlkCylLriSSI2RT8JfIi9h35n8NvYd0MvCu2MNsu+YFFpE/7waYiQNxpirgXuwu+6ch/3l/btYsYS747yBPb7jGuyKvK2LZtyTBXTj/YiV/ETbH+Kr5LhNZxMMNVuWFeyw7f5wPP+CXWFNB97iyGuMdv4XsMfJXmGMOYmvuhMByemCa1lWCHs8TseZE9tuYOwN/3dPxzLGmDygIKKMiEg2aOsZMgv7u73tMS28Dcuy6sPbyrG7Rt4EbDbGHNvNc3VVHx+um3r5++BP2BPgLMRu8Z0OrIvjdR29il0v/AC7C+t0oJ7E1sfQvk7uasK/jr+f4v290uX5Lcvai10nfy88u/tVdOjS2s0uuHuwk/3BHU41lOh15o+BRsuybrEsa6VlWR9gf8YmY8/V0dH3sVvi/xrlmJLh1AIqfWk29pftT6zwLLfhMSZ94XPsMX2ROj6fg33374G2DZ2MGWnhyPGU07C7n95mWda28Ovm9yDGeN6PFcDlxhhvF62gK4CzjTH/3EUraBUwzBjjCCdiACfEGd8c4I+WZf0lHJsLe2KiL8L712CP4zgnYls7lmW1GmMexb7Tuhq7C01ki+c27Eo+mpgt0nH4IBznnRHbzgU2WpZVE1HmdmNMXsQd2LYuUx8mIAYRkXSxHDsRGmFZ1ptdFQrXTe8A7xhj/gX7u/5y7O//zurHznyOfROywLKsQ3C4F5E3okw89WFbXXD4nOGWv9OB71uW9VJ42wDsVsIP4oit7TgjgKOA71mW9U5423jaj1NdAQw3xhzbRSvoCqDcGDO0i1bQqvB/h2NPmATdq4+7/L1iWZZljPkUu56L1gr6X9iJ/ifYNyGe7rD/DGLnAm2t0Z9gd6E9h/BY3fAM+vOBu6K8Pp+vkvE2Iey6tt0N8/AMwN/FHh6TiN8CkqbUAip9aRP2Z+ynxphxxphLsbtd9IV7gK8bY34ZbmW7DHuCnUgbgROMMd80xkww9oLY53cosw0YZYw50RgzKHzXcBt24nWzMWa8MeZs7LGa3RXP+/EA9pf1c8aYk8Pnu9AYc1Z4/2+xJ2R4zBgzM3wdlxtj2rpXvY2dLP/CGHOUMeYKvpoQKpaNwCXh4x6D3X3n8NTqlmXVheO7wxjzfWPMRGPMdGPMP3Q4zsPYlex36HC31bKsgGVZm2M8KiNfY4w5xtjrhQ0BvOFzTg8nyG3rkm0wxnwv4mV3A3ONMf/XGDPZGHM99l3V30aUeRz7rvOTxpjjwt3B7gMetyxrd5zvmYhI2rMs63PgKey648pw/TDd2Gt7LgQwxnzLGHOzMeYEY8xo7FnBh2O3LoJdF7qMMd8I14/5XZzuj9h15uPGmGPDieUfaD85Tzz14Zfh/37TGDPEGFMUvvG6Cbg6XDecwFcTJXVHFfY41ba67FTspCryxu8i7KTrWWPM+eE4TzfGXBve3zb77d+MMfPD+88yxnwrvH899uy+vw7XQ3Npf1M0mnh+r/wau87+ffh9PtoYc70x5qiIMm9hzyvxO+wZ69u1tFqW9WUcdXIwXLYWuyvt740x5xljpmH/raF9T6e7jTGvRJzmhfC1/Dr8Xh+H/V77sH+zRLoUe5hTtKRaskGqB6HqkTkPYk9CdMTkAtgzwu3E/qJZjP0FagEnhfd3NQnRiR2Os5Mo03yHyyzAriD92C1Yl3Y4tgc7qarD7mbzOHALEZMqYN+hrcCe5c7iq2VYrsCeBr0Z+07yHCImEgiX+ZgYy43Eej/CZaZiL/NyEDtB+hQ4K2L/Kdhf2o3YE+Z8CMyI2P8D7Iq7CXsG4e/QyTIsncQ2DruyapsS/5+xx2ssiijjwJ7c6Qvsu9N7sWfU63isV7Hv+OZEez/i/Nzt5cjp+COvxxv5t4p43UV8ddd+G51MLITdRfit8N+jBvhPejA9vR566KFHOjyIXk+7sMd4bgp/L1Zjt3ZeFN5/Rrheqg3XdRvpUK9jr81YTexlWGZhJ2/+cH1xCUcuwxJPffjP4fooxFfLsMzAXnrFh91V+AbsOR/+EPG63xJjwiTsSY7Whq91HXAhHX5rYLeIPhiO3Y/9O+CWiP0jsBP7tvdsPXBVh7/HqnCsn0b8fTpOQtTxN0/M3yvhcueH3+dm7IT6LTpM7oM9ztYi4ndCLz5fHuBevlp2ZglwfIcyf6bDZI7YrejLsX+z1GIPa5rdyfEXA2+k+v8jPfr+0TYzloj0Qrhb0B7gd5Zl3ZvqeFLNGPMZ8LplWT9LdSwiItK/GGMqAI9lWX+X6lhSzRjzAHCyZVmzYhYWSRKNARVJjFnYLWj/HqtgNgtPVlCOvW7ZBSkOR0RE+pnwuMQ52Mu69FvhsbEzsGfS/V6M4iJJpRZQEUkIY4wXu5tRLXYXpkdivERERET6gDHmY+w5I57EnrRJP/glbSgBFRERERERkaTQLLgiIiIiIiKSFEpARUREREREJClSNQmR+v2KiEiimdhFJArVzSIikmhH1M0pmwW3/le/StWpRdLKqnnzUh2CSMabO3duqkPICqqbRWyqm0V6r6u6WV1wRUREREREJCmUgIqIiIiIiEhSJKwLbnl5uRNYDuyqqKg4P1HHFRERkZ5R3SwiIukmkWNAfwysB4oSeEyRrKSxJSKSJKqbReKkulkkORLSBbe8vHwk8E3gkUQcT0RERHpHdbOIiKSjRI0BvQ/4P0AoQccTERGR3lHdLCIiaafXCWh5efn5QFVFRcWKGOVuLC8vX15eXr68t+cUERGRrqluFhGRdGUsq3frTpeXl/8bcDXQCnixx5n8taKi4jtRXmZprTHpzzTORCSxwmuNHbHYdX+lulmk+1Q3iyRWV3Vzrychqqio+Dnwc4Dy8vJ5wK0xKjgRERHpQ6qbRUQkXSVyFlwRiUF3V0VERNKL6maR5EpoAlpRUbEYWJzIY4qIiEjPqW4WEZF0kqhZcEVERERERESiUgIqIiIiIiIiSaEEVERERERERJIi+ychsiycW7fi2rIFnE4C06YRGjo01VGJiIiIiIj0O1mdgDq3bMH7xhs4a2sxgQAAOcuXExoyhKaLLsIaODDFEYqIiIiIiPQfWZuAOrduJff553E2NLTb7vD5cGzfTv6TT9J4zTVYRUUpilD6C03vLiIikl5UN4ukTtaOAfW+/fYRyWckZ20t3tdfT2JEIiIiIiIi/VtWJqCOPXtw1NTELOfcvRvCXXNFRERERESkb2VlAurcswdHc3PMcsbnwxw6lISIREREREREJCsTUCsnJ76CDge4snYYrIiIiIiISFrJygS0dcIEgsXFMcuFiouxCgqSEJGIiIiIiIhkZQKK10tw1KioRSynk8Axx4AxSQpKRERERESkf8va/qe+Cy7AUV+Ps7KSjimm5XIRmDqVlpNPTklskv00vbuIiEh6Ud0skh6yNgElJ4fGBQvwvP8+rk2bMI2NYAxWUREt06cTmDFDrZ8iIiIiIiJJlL0JKIDLhX/ePPzz5kEwaCecjuzsdSwiIiIiIpLusjsBjeR0pjoCERERERGRfq3/JKAiSaDxJSIiIulFdbNIelF/VBEREREREUkKJaAiIiIiIiKSFEpARUREREREJCk0BlSOFAzi2rAB565dWF4vgRkzsAoLUx2ViIiIiIhkOCWg0o572TI8n3yCY/9+TDAIgGfZMoLDh9N0ySXg8aQ4wvSjyQ1ERETSi+pmkfSlLrhymHvpUrxvv42zuvpw8gngaGjAvXEj+U88Aa2tKYxQREREREQymRJQsbW22i2fPl+XRZw7d5KzdGkSgxIRERERkWyiBFQAcH/6KY79+6OWMYB7/frkBCQiIiIiIllHY0AFANfOnRjLilnONDUlIZr0p7ElIiIi6UV1s0hmUAuoAGC54rwX4dBHRkREREREekbZhADQcsIJhOKY4TZUUpKEaEREREREJBspARUAQiNGEBoyJHqZ3Fz8p56apIhERERERCTbKAGVw5ouvZTg4MGd7gt5vbTMnk1wzJgkRyUiIiIiItlCkxDJYVZxMY3XXovn7bdxVVZCczM4HIRKSvCffDLBiRNTHaKIiIiIiGQwJaDSjpWXR/P559tPAgFwOjXxkIiIiIiIJIQSUOma253qCEREREREJIuoaUtERERERESSQgmoiIiIiIiIJIUSUBEREREREUmKXo8BLS8v9wJLAE/4eH+pqKj4ZW+PKyIiIj2jullERNJVIlpA/cD8ioqK44HpwLnl5eUnJeC4IiIi0jOqm0VEJC31ugW0oqLCAg6Fn7rDD6u3xxUREZGeUd0sIiLpKiHLsJSXlzuBFcAE4D8rKiqWJuK4IiIi0jOqm0VEJB0lZBKiioqKYEVFxXRgJPC18vLyaR3LlJeX31heXr68vLx8eSLOKSIiIl1T3SwiIukoIS2gbSoqKg6Ul5cvBs4F1nbY9xDwUPipugFJRlo1b16qQxAR6RbVzZLtVDeLZJZet4CWl5cPLi8vLw7/Oxc4E9jQ2+OKiIhIz6huFhGRdJWIFtAy4I/hsSYOoKKiouKlBBxXREREekZ1s4iIpKVEzIK7GpiRgFhEREQkAVQ3i4hIukrIJEQiIiIiIiIisSR0EiKJg2Xh3LYN5549WLm5BKZMgdzcVEclIiIiIiLS55SAJpH7s8/I+egjnDU1mNZWAIJLlhAcPRrfBReA253iCEVERERERPqOEtAkca9cifeNN3D4fO22Ow8cwHHgAKahgabvfAeczhRFKCIiIiIi0rc0BjQZWlvxfPjhEclnGwO4vvwS98qVyY1LREREREQkiZSAJoF71SoctbVRyxjLImf16iRFJD01ffFipi9enOowREREJEx1s0hmUQKaBK7KSoxlxSxnmpqSEI2IiIiIiEhqKAFNAssR59scbzkREREREZEMpIwnCQLHHUcoJydmuVBxcRKiERERERERSQ0loEkQHDeOUGlp1DIhrxf/KackKSIREREREZHkUwKaDMbgu/higiUlne4OeTy0nHACwXHjkhyYiIiIiIhI8mgd0CQJDRlC4zXX4H3zTZy7d2Oam7GcTkIDBxI48UQCxx6b6hBFRERERET6lBLQJLIGDMB36aUQDGKamrDcbvB6Ux2WiIhI5vH7cW3ejGluJlhWRmj48FRHJCIicVACmgpOJ1ZhYZ+ewjQ04FmyBGdVFQChoiL8c+YQGjy4T88rIiLSpwIBvC+/jGv7dhx1dRjsoSyhQYNonjuX4KRJqY5QRESiUAKahdxLl+L54AOcBw+22+7asoXAtGk0n3ceGJOi6DLbqnnzUh2CiEj/FQyS99RTuLZtI7IWc/j9OHbtIu/FF2n65jcJTpmSshAl+VQ3i2QWTUKUZZwbN+J9990jkk8AR1MTOZ9+Ss5776UgMhERkd7JWboU15df0tUtVMehQ3jfeQdCoaTGJSIi8VMCmmU8H36Io6mpy/0mECBn7VpVziIiknHc69ZhLCtqGWdtLa4NG5IUkYiIdJcS0CxiGhtx1tbGLOeorcW5fXsSIhIREUkc09gYu0wwiGvr1iREIyIiPaEENIsYnw8CgdjlgkFMJ110RURE0lq88xc49PNGRCRd6Rs6i1h5eVg5ObHLuVxYxcVJiEhERCRxQgMGxC7j8dBy3HFJiEZERHpCCWgWsfLyCA0aFLNccNAggqNGJSEiERGRxGmZNcteQzuK0ODBhEaOTFJEIiLSXUpAs4x/zhxCBQVd7g95PLRMn67uSSIiknFap06lZdq0LpPQYEkJvosuSnJUIiLSHVoHNMsEx42j+ayz8LzzDs4DB9rtCxUW0jJjBoGTTkpRdCIiIr3TfOGFBIcNI2fNGhwHDkAwiOX1Ehw+nOYzz8QaODDVIYqISBRKQLNQ4PjjCUyejOfDD3Hu2gVAqKQE/+mnYxUVpTi6zKMFrkVE0ogxBGbPJjB7NqahAVpbsQoKIEbXXMkuqptFMpcS0Gzl9eKfPz/VUYiIiPQZq7Aw1SGIiEg3KQEViWH64sWH/607riIiIqmnulkkc2kmGhEREREREUkKJaAiIiIiIiKSFOqCKyIiIiKSAWpra3nuueeoqalh+PDhXHTRRRRpgknJMEpARURERETSWCAQ4Le//S2rV6+murr68PZXXnmFWbNm8ZOf/ASn05nCCEXipwRURERERCRNWZbFL37xC5YuXYplWe327d27l1dffZXm5mb+6Z/+KUURinSPxoCKiIiIiKSplStX8tlnnx2RfLZpbW3lk08+obKyMsmRifSMElCRbpi+eHG7qd9FREQktbK9bn722Wfx+XxRy9TX1/Pkk08mKSKR3lECKiIiIiKSphoaGuIqV1dX18eRiCSGxoD2J5aFo7oa09iIVVBAaPDgVEckIiIiIlHEO7mQJiGSTKEEtJ9wr1xJzooVOGpqMH4/lsdDaNAgWk48kcCMGakOT0REREQ6MW3aNFatWhW1jNPp5JRTTklSRCK90+sEtLy8fBTwODAMCAEPVVRU3N/b40rieN59l5yPPsLR3Hx4m/H7cezahaO2FnPoEC2nn57CCEVEJJFUN4tkj29/+9u8/fbb7N69u8syo0aN4rzzzktiVCI9l4gxoK3AwoqKiinAScDfl5eXT03AcSUBTH09OcuWtUs+Izmam8n55BNMnOMLREQkI6huFskShYWF/OQnP2Ho0KGd7h8xYgS33XYbbrc7yZGJ9EyvW0ArKir2AHvC/24oLy9fD4wA1vX22NJ7niVLcBw6FLWMs6EBz5IlNH/zm0mKSkRE+pLqZpHs8rWvfY377ruPxx57jE2bNuH3+8nNzWXKlClce+21lJaWpjpEkbgldAxoeXn5WGAGsDSRx5Wec+7fH1c5R21tH0ciqeT3+9m1axcOh4ORI0ficmn4t0h/obo5BZqb8Xz0Ec69ewFoHTOGllmzQC1U0gtlZWX8/Oc/T3UYIr2WsF+h5eXlBcCzwE8qKioOdrL/RuBGgIqKikSdVkSiaGho4IEHHmD9+vXU1tbicDgYPHgwxx9/PD/84Q/xeDypDlFE+pDq5uRzf/wx3o8/xnHgwOFtro0byVm+nOYzzqD1mGNSGJ2ISOolJAEtLy93Y1dwf6qoqPhrZ2UqKioeAh4KP7UScV6JLVhaimvbtpjlQoMGJSEaSab6+npuueUWtmzZ0m57Y2MjX375Jdu2beP3v/+9klCRLKW6Ofncn32G9913cfh87bYb7B5JuYsW0VRQQHDMmNQEKCKSBno9CVF5ebkB/htYX1FRcU/vQ5JE8s+ZQ7CwMGqZYFER/jlzkhSRJMtdd911RPIZafXq1Vx++eUsXLiQt956i2AwmMToRKQvqW5OAcsiZ+nSI5LPSI6GBjzvvpvEoERE0k8iWkBPBa4G1pSXl7ctUvSPFRUVryTg2NJLVlERLbNn4/ngg04rxVBuLi2zZ2MVFKQgOukrBw8eZNOmTTHL1dXVsWLFClavXs3zzz/Pb3/7W/Lz8wmFQtTV1QEwcOBAHI5ETJgtIkmkujnJHHv34qipiVnOWV2NaWzEys9PQlQiIuknEbPgvo/du0TSVMtpp2EVFtrLsdTWYvx+LI+HUGkpLbNnEzj22FSHKAm2Zs0a9u3bF3f5QCDAmjVr+OUvf8nEiRP55JNP2B+ewKqkpISZM2dy/fXXq7uuSIZQ3Zx8jv37cbS0xC7o92MOHVICKiL9lqbC7CcCxx9P4Pjj7QS0qQkrP59QSUmqw5I+EgqFevS6Tz/9lOXLl7fbVldXx5YtW9iwYYPGjIqIdMHKz8dyOjGxhjO43Vheb3KCEhFJQ+pX18+ESksJjhql5LOHVs2bx6p581IdRkxTp05lUA8mloo2DnT16tU88MADvQlLRCRrBUePJhTHWoyhkhKsAQOSEFH/kSl1s4jYlICKZKHS0lLGjx+f8OOuXr0av9+f8OOKiGQ8h4PA1KlYUdZZDnm9tJx4YhKDEhFJP0pARbLUwoULGTVqVEKPuWfPHjZv3pzQY4qIZAv/3Lm0HHccoU6GKoTy8ux5F44/PgWRiYikD40BFclSQ4cO5a677uKee+5hy5Yt1MQxO2MsoVBIy7WIiHTFGJovvJCWE07A+/77mIYGAEIDB+KfM4fQkCEpDlBEJPWUgIp0w/TFiwEyZqzJ0KFD+d3vfkdtbS1r1qzhwQcf7NbsuB0NGjSI0aNHJzBCEZHsE/BVIpoAACAASURBVBo5kqbLL091GP1GptXNIv2duuCK9AOlpaXMmzePe++9l0mTJh0xk21xcTGlcUyecdRRR1FcXNxXYYqIiIhIllMLqEgPtN1thcy64zp8+HD+8Ic/8OGHH/Laa6/R2trKwIEDufLKK8nJyWHhwoXs2LGj09eOHDmSH//4x0mOWPqbuRNULYlIz2Rq3SyS7hJdN6umF+lnHA4Hp512GqeddtoR++68805+//vfs23bNurq6gC7dXT8+PEsXLiQYcOG8eWXX/LWW2/R2trKzJkzmTlzJsZovXsRERERiU0JqIgcVlZWxj333MOePXtYtmwZALNmzaKsrIx9+/bx4x//mG3btnHw4EEAnnvuOUaNGsUNN9zA7NmzUxm6iIiIiGQAY1lWKs5r1f/qV6k4b3axLMyhQxAIYBUWgtud6oj6vWzt8rN//35++tOfsn379k73Dxo0iNtuu40Ttb6ddKHPu9aOOBVATfG9kxZ1s6OqCkddHVZeHsERI8Ch6Sqkd7K1bhbprVTVzWoBzUSWRc7HH+NeuxbHgQMQCmHl5hIsK6P57LOxBgxIdYSSZf7whz90mXwC1NTU8OijjyoBFZEec61bh+fDD3FUV+Pw+7GcTkKlpQSmTME/bx6oq7+ISFZQApppLAvvCy+Qs3YtprX1q+0+H879+3Hu3EnjggVYccxoKomXjVPBBwIB1q9fH7Pc9u3b2bRpE5MmTUpCVJKuNImQ9IR75Uq8b76Jo6np8DYTDOKsqsJRW4vjwAF8F12kJFR6JBvrZpHuSLe6Wf1aMoxr7dojk88Izvp6Ch566PDi1yK9VVdXd3jMZzSNjY2sW7cuCRGJSFZpacHz/vvtks9IJhjEtX49zi+/TG5cIiLSJ9IrHZaYcpYv7zL5bOPw+8l/9FEav/c9rLy8JEUm2crtduN0OuMqm6fPW7+SbndUJTPlLFuGY//+qGUcLS14PvyQpnHjkhSViEhmyoS6Of0jlK9YFo44WqIAnHV1eN56i+YLLujjoCTbWJbFmjVrqKysZODAgcyaNYthw4axP8YPxGHDhnHyyScnKUoRyRaunTvjmj3KHDrU57GIJEsoFOK9997jxRdf5MCBAzgcDoYPH87VV1/NhAkTUh2eSJ9SApphTDdmLXZVVkIopBkEJW6vvPIKzz33HJWVlfj9fpxOJyNGjKCkpAS3200gEOjytVOnTqWwsDCJ0UoyZcIdVclMlsZ1Sj/T2trKL37xC1asWEFLS8vh7V988QWrVq3ikksu4ZprrklhhJIpMrVuzsyo+ytjCOXn2zPfxlPc58P4fFj5+QkLwVFdjefdd3HW1Niz73q9tBx7LIETToA4u2lKeqqoqOCJJ56gIWL8cDAYpLKykt27d1NaWkpdXV27yrLNMcccw89+9rNkhisiWaJ13Djc69fHvMEaKi5OUkQifev+++9n6dKlhEKhI/bV19fzzDPPMH78eE4//fQURCfS95SAZpjAlCk4d+2Kq7uSZQxWApNC97JleN99F0eHblDOHTvIWbOGxquuAo8nYedLJ6axEeeWLZhgkOCoUYQGDUp1SAnV2NjI888/3y75jNTa2srBgwe5+OKLWb9+Pfv27cOyLAYMGMApp5zClVdeicfjoaGhgc2bN2NZFhMmTKCoqCjJVyIimSYwYwaepUvtG5tdCOXm4j/ttCRGJdI3fD4fK1eu7DT5bHPo0CGeffZZJaCStZSAZpiWk07CvWEDzjjGzJiWFlxbt9J69NG97obr2LkT7+LFOBobjzyPZeGqrCTvr3+l6YorenWetOPzkfvCCzh378YZHn8bys0lOHgwzeeeS2j48BQHmBjPPPMMu3fvjlrG5/Oxfft2HnjgAYLBIJZl4XLZXyH19fXcfvvtbNq0iX379gEwdOhQJkyYwMKFCxk4cGCfX4MkTqZ26ZEM5XLhO/NMcl9+GWcnN8FCHg8t06cTGjEiBcGJJNYHH3wQs74F2LVrF42NjeQnsBebZLZsqps1ODDTuFw0XnMNVhwtSw6/n7y//pW8P/0JYsycG4v3vfc6TT4jOXftwtTX9+o8acXvJ//xx8nZsOFw8gng8PlwV1aS//TTOOKoRDLBli1b4irXNhGR0+k8nHwePHiQW265hSVLlrB3714sy8KyLPbu3cv777/PLbfcQl1dXZ/FLiKZL3j00TR961sExo8nVFiI5XYTys2ldeRIms86C/8556Q6RJGEqKurw4pjPo/W1lZ8Pl8SIhJJvuxJpfsTt5uGH/6Q/D/+EdeePVGLmtZWXFu2kPvCC/guvbTHp3RE6Rp1uMyhQ+SsWIF//vwenyedeN98M+r766ivJ3fRIhqvuy6JUfUNE+ckIJ2Vu++++6ImsNu2beOee+7hX//1X3scn/S9bLqzKpkpNGYMTQsWYA4dwjQ0YHm9WOo9IVlm7NixeDwe/H5/1HK5ubma2E+ytm5WC2im8nppvPZamk85hVCMcZcGcFZWYmK0YHbJsmKuPXr4XF0sJJ5xQiFccSx67qiuxhHucpru1q1bx7PPPssrr7xCfYeW6q997WtxrfU5okMXuKamJjZs2BDzdV988UWX40tFRCJZBQWEysr6XfJpGhvxvP46eU8/Te4zz+DctAm6MfO9ZIaZM2cyatSomOUmTJiAJ0vn1RDJzrS6v8jJwX/WWbg3bIAYd9Kc9fW4V62i5dRTu38eY7C8XojRvdYCgkOGdO/YgQCmoQGcTrtbcZpMx28aG+NKph0+H87t2wkNHZqEqHrmk08+4X/+53+orKykMXwTYujQoRx99NH8wz/8A3l5eZx77rk888wzbN++vcvjFBcXc/XVV7fbVllZSU0creNVVVVs27aN4447rncXIwmXrXdXRTKGZeF5/XXcn3/ebriHe+NGgoMH47v00qyb+K4/czgc/N3f/R0PPfRQlzdmy8rK+N73vpfkyCSdZHvdnN1X1x8Eg/YjDr1ZxLt1zBicMVr6QqWlBGbMiC+Wxka8ixbh3L3bTvSMITRgAK1HH43/9NNTv3apwxF/MpzGy8989NFH3HXXXdTW1rbbvm/fPvbt20d1dTX33nsvHo+Hm266iTvvvJOqqqojjlNYWMjFF1/MuHHj2m2Pt+uuiIh0zvPWW3iWLTuip5FpbcW1Zw95f/4zjddem9Al1SS1LrjgAnw+H88//3y7CYncbjcjR47k1ltvjauVVCRT9fsE1Bw8iOuLLyAYJDh2LKHutuClmssFOTkxi1nGEBo8uMen8c+bh2vr1i6nyQ+53QSOOw7c7pjHMgcPkv/EEzirq9ttdzQ14dy3D8fevfguuyylSaiVl0eosPCIJWc6ChUW0jppUpKi6h7Lsnj00UePSD4jrVu3jieffJLrr7+eE088kTvuuINHH32UrVu30tTUdLgyvPjii5k3b94Rrx87dixDhgxh586dUWMZNmwYEyZM6O0lSYJk+51VkYzR0oL788+jDnNx1tTgefddmr/xjSQGJn2tvLyc888/n+eee45NmzbhcDiYM2cOc+bMiWtIjGSf/lQ3Z9+VNjfj+egjnDt3gmURGjAA/5w5R4wlMYcOkfv883bCE+4CcXh5jfPOI1RWloroe6R1xIgjkrmOQiUlBI49tsfnsPLyaLzySvKefdYe99jScnhfsLiYwLHH4p87N65j5T7/fJfxmlDI7na0eDEtX/966rrkGkPrlCk49+3DRFmrKzhsGFaaThKwbNkyKisrY5ZbunQp119/PWCPObnjjjtoamriwIED5OfnM2DAgC5f6/F4mDp1aswEdPLkyeTl5XXvAkREslzOihU44pgl3BlleIRkrry8PK666qpUhyGSdFmVgLo+/xzvm2/i7PBl7t60icC0aTSfey4Yg2lqIv/xx3F26Gro8PlwVFbiePppmi6/nNCwYckMv8f88+fjqqzEGV4ioyPL7SYwbVpcrZPRWCUlNN5wA84vvyRn5UoIhQgNGoT/5JPB643rGKauLmZXXhMK4X3/fdxbttBy7LEEZs9OSSLqP+00HDt34t68udMkNDh0KL6LLkp6XPH69NNPY86yB3DgwAECgQDuiM9HXl5e3AnjT37yEyorK7ucjGjixInccsst8QUtItKPOKqrY67pDWDi+C4XEckUWZOAOnbsIHfRosOtme32NTaSs3IlVl4e/rlz8bz22hHJZyTngQN4Fy2i6bvf7cOIE8cqKqLpssvIe/55HDU1mIgxocGiIgLTpuHvpPtkjxhDcNw4fB3GAsbLvW5dzPVEwU5CXbt24ayqwrlvH80XXpj8JNThwHf55YSWLMG1cSOOgwchFMLKz6d15Ej8Z5+Nlcateu44bzgYY3D0ortzXl4e99xzD/fffz/r1q2juroay7IYNGgQU6dO5eabb9ZU8mmgP3XtEckUcdchLv3/K5KN+mvdnDVX7X333U6TzzYmEMC9di3+k07CFaO7IICzqgrH/v2ESkoSGWafCZWVcej738e1fj3utWsxlkVw4EBaTjstvSYuiNKdtTNtf7fWiRNpnTq1j4KKwuHAP28e/rlzMW0JaGFhRvwYmD9/Pi+88MIRS650NHTo0F6PN8nLy+PnP/85fr//cLffUaNG4Y2zZVxEpD9qmTWLnFWrYs430O0Z5kVE0lj6/4qOR0sLjhhjIAEctbW4V6+Oaz1MR1MTjh07+iYBDQZxr12La/NmAAKTJtF6zDG9n3TH4aD1mGPsY6Wp1nHjCHk8OLrRncgRCJCzbFlqEtA2xmBFGQuZjsaOHcu4ceNYtWpVl2Xcbnenkwv1lMfjYeLEiQk7nvRef727KpIJrAEDaB05kpwo6ymHCgrinmNBRDJDf6+bU7zWRWKY5mZMIBC7XChkt5LGm+j1QSuXc8MGCv7wB3JffJGcNWvIWbOGvOefp+DBB3Fu2ZLw86Wb0MiRPZqN1xGjFU8694//+I+MHTu2y/2BQICnnnqK2267rdPlV0REpG/5LrmE1jFjsDrpiRIsKqL5jDPSeq1pEZHuyooE1PJ6seIY72Y5HASHDSNUVBSzbHDAAFrHj09EeIc5v/ySvJdfxlld3W6cpgkGcVZXk/vCCzh27EjoOdOR75xz4vobtGNZfRNMlhsyZAj33Xcf5557LiNHjux0rGdNTQ0ff/wxt956q5LQLDF3guvwQ0TSXE4OjQsW4LvwQgJjxxIcNozW4cPxz5hB43XXxb2+dp/z+TANDXGvPS4i7alu/kp2vAM5OYQGDcIZo5UsVFJC66RJOPfutZfXiJLUBEeMgNzchIbpeeedqONUnQcP4n3nHZoWLEjoedNNaNQoGi+7jNw33sCxZw+OOFqv02oca4YpLi7mtttu49e//nXU5VIqKyu59957+bd/+7ckRiciIjidBI4/nsDxx6c6kvYsC/eKFeR89hmOAwfseRC8XoIjR9J81llYBQWpjlBEMlB2JKCAf84ce03PLgbyW04ngSlTwOXCP28ezj17cG3e3GkS2jp8OL4LL0xofObAAZw1NTHLOaurMQ0Nabu2ZKKERo2i8brrcOzbR96f/oTz4MEuy1rG2MvISI81NzezadOmmOW2bNlCXV0dAzusmyvpT3dURSTRvC+9RM7q1e2HOTU24qytxblrF43f+Q5WcXHqAhRJc6qbO5cVXXABgmPG2OMkOpkoJpSbS8v06fjnz7c3OBw0XXEF/rlzaS0rI1RQQCg/n+DgwfhnzaLxmmviXtcyXo66urgmPzKNjfZdxn4iNHQovm98g1AXd1Et7ImLWqZPx71yJZ6338b96acQR6upfGXXrl3U1tbGLFdVVcUXX3yRhIhERCSdudauPTL5jOCsqSHvueeSHJWIdMqyIOTPmCFrCUnLy8vLHwXOB6oqKipS1lQVmDGD1kmTyHn/fVx79oBlESoqwn/66YQ6TmEeubxGYyNYlr0eVy+Xo+hSTo49qVFra9RiltuN5fH0TQxpKnj00TQ5nfZSOjU1OJqbsQh3mR49GjweCh56CMf+/RjspNTz/vsEjj4a/5lnJn990AxkjMHE+T71Zk1QEUkf6VI3S2bKWb485gSPjqoqHPv2aZIkkVTx7YJtj8ChjRBqBkcO5I+HMddBwYRUR9elRLULPwb8B/B4go7XY1Z+Pv5zziHuRT6MScoYhmBZGaGSEpwxJnkJDRzYo1liM11w4kQaJ060x4Tu2wdeL63jx+N9+WW7EoyctAlw1tbi+PhjjM9Hc4K7S2ejUaNGMXjwYLZv3x61XFlZGZMnT05SVJII6t4jUTxGmtTNkmEsK67eWA6fD/fq1fjPOisJQYlkjqTUzQdWwYbbwb+n/XbfTji4Do66CYac0fdx9EBCmjoqKiqWAPsTcays5XAQOProTqdZb2M5nfZal/24RS9UVkbr9Om0Hn00jv37cW/c2C75jGSCQdwbNuCIo2tpf+d2uznuuONilps0aRKFWT7+WKS/UN0sPdadbnwxenaJSB8I+WHT749MPtu01MDWB6GlLrlxxUm3zpPI//Wv20nVhg2YDl/YIbebwNSp+E8/PUXRpR/Pe+/haG6OWsbR1IRnyRJ8F1+cpKgy149+9CO2bdvG2rVrO90/ceJEbr311iRHJT2hVk8R6ZbmZnKWLcNZXY3l8dAyezahQYO6Lu9w2MOSYrSCWi4XwXHjEhysSGZKat28+2/gi7F0o38v7PgTHPWj5MTUDUl7p8rLy28EbgSoqKhI1mnTizH4Lr2UwIYN5CxbdnhJllBhIf7ZswlOmtSvWz87csQxaRNgr0smXWpoaGDZsmU0Nzdz00038fLLL/PZZ59RU1ODZVmUlJQwdepUbrrpJrV+ivQzqpuznGXhefNN3OvW2ZMhhje7P/+c4LBhNF12WZdLzrVOmoRz926i/SoJlpbSOmlSwsMWkRjqlgKh2OUa1vd5KD2RtAS0oqLiIeCh8NPMmKKpLxhD65QptE6ZkupI0p4VbzKupL1TTU1N3HnnnWzYsIG9e/cCUFRUxOjRo/npT39KcXExlmUxfPhwPP1s4qtMpZZPSTTVzdnN88YbeD755IheV46mJhxbt5L/5JM0XnutPUliB/5TT8W1ZQuuHZ23soQKCmieNw80cZ30cympm604ks/ulEsyfWtI2gqOGBGzjIW9BI+019zczK233srixYsPJ58ABw8eZO3atdxxxx0cOnSIcePGKfkUEclGPh/udeuOSD4jOXftImf58s53ut00Xn01LcccQzBiibtQTg6tw4fTdMEFBHUzPSVMIGAPUcqQJTekD3jinLDUfeTylOkgUcuw/C8wDxhUXl6+E/hlRUXFfyfi2NJ/+U89FffatTijjEEJlZTgnz07iVFlhscee4x169Z1ub+qqor//M//5MEHH0xiVNJGLZmSDKqb+zfPRx9FrT/BnlXe/fnntJx0UucFcnLwXXYZpqkJ14YNGL+f4MiRBEeOVO+jZLMshi5axLBXX8W7dy9YFq1FRew/8US2f/e7hLroSi3xy6i6ecw1UPshBKLMM+fMg5FXJC+mbkjIO11RUZGeVyeZLTeX5rPOwrtoEc5OxnkGi4rwnXMOqAWvHcuyWLZsWcxylZWVrFu3jqlTpyYhKhFJNtXN/Vu8M8SbGJP9AVh5eQROOKG3IUlPWRaT7ryTIW+/jdMfsdBgdTUFW7ZQ/NlnrL7rLoJJWFZQ0oS3DAadDntfBaulkwIOKD4RBsReASEV1AVX0lrrMcfQdOWVBCZPJjhwIKHCQoIlJbRMmULTVVcR1JqVR2hsbKS+vj6ucitXrkxCRCIikmxWJ+M6OxVleThJD2V/+9uRyWeEog0bOPrf/i3JUUnKTbwVRnwLvCMhcrowbxkM+yYc8+u07amQQW3N0l+FyspouuIKCAYhEICcnLSd9GDVvHmpDgGn04mJ8wvHFe8PFIlLRnXfEZGsFpg5014ru4ukpU1wyJAkRZQ66VA398bQ11/vMvlsU7BpE+79+wmUlCQpqsyRtXWzMXDUD2HsdbBvEfh2gmcIDPsGuNK7NTxL/yKSlZxO3amNYcWKFTzzzDMcPHgwZtmBAwcyd+7cJEQlIiLJFhw9mtCQITi6mMUWIFhYiF/1QJ+rq6tj/fr1OBwOpkyZwoAB8U8M4zx0CE/EZIJd8VZX4331VQJXXdWbUCUTOb0w/KJUR9EtSkAloRy7dpHz6acQCBAcNYrA9OmdTu8uiWVZFvfddx9vvvkmjXGunzp+/HjKysr6OLLslbV3VEUkazRddhn5Tz6Js6rqiH2hwkL88+cTKi1NXkChEObAAUwoRGjAAHC7k3fuFKipqeHuu+9my5YtVIX/BkOHDmXChAn87Gc/o7i4OOYxHK2tmFB8S2m8+NRTWGVlzJ8/v1dxZzLVzZlBfyVJCFNfT96zz+KoqrKnBges1avxfPwx/lmzCGim2j717LPP8tprr9Ecx2QSAB6Ph0svvbSPoxIRkVSyioo4dN11eD74ANeWLfaEQ04nwaFD8c+ZQyhZ3W+DQTzvvIPriy9wHDwIoRBWfj7BESNoPvdcrPz85MSRRLW1tSxcuJDt27e3275v3z727dvHnj17uPfee2O2hgYKC2ktKsKzP8psp0A98HpjI5sffJAJEyYwevTo3l6CSJ9RAiq9Zpqa7Dus1dXtt1sWzpoavIsXg8NBYNas1ASY5SzL4o033og7+QTw+/3cd999FBUVMW3atLhfV1NTw5YtW3C5XEyZMoW8vLyehJyxdGdVRDKO14v/jDPwn3FGas4fCpH35z/j2rwZE7lupd+Pc/9+nHv30rhgAVZhYWri6yN33333EclnpK1bt3L//ffzL//yL9EP5HRSP20a+V9+GbXYBuAjgOpqHnvssdjHzSKqmzOP/mLSa5533jki+Yzk8PnwLFtGYObMtJ08KJPt3r2bPXv2dPt13VkLdMeOHdx///1s27aN2tpajDGUlZUxdepUbrnlln6XiEoUVghq3oPdz0PgABgH5I601yzLH5/q6EQkyTzvvXdk8hnBWV1N7vPP03T11UmOrO/U19ezZcuWmOU2btxIU1NTzDp02403UrRuHQVbt3a6fxfwy4jnW7soJ5IulA1Ir7mi3OFr46itxbV+fRKi6X+amppoaelsDajY2tYCjWbHjh3cdtttLF++nNrwunKWZbF7927efPNNbr31Vnw+X4/OL1km1Aprb4MNv4IDy6DxCzi0Earfgs9+DJVPpjpCEUkmy8K1YUOXyWcbZ1UVJo7lwzJF5JjPaGpqati5c2eX+5uamqiqqqLB7Wb1XXexsqSEyOmIDgHLge8Br0Vs7+lvApFkUQuo9E4gAHF0/TTBIM5du2g95pgkBNW/DB48mMLCwm51wW3T2NjI8uXLmTp1apdl7r77bnbt2tXl/nXr1vHwww9z8803d/v8kmW+uBv2fwx0MmFGoA52/C/kHwWlJyc9NBFJPtPUhKOhIWY5R0MDri++IHDiiUmIqu854uztZYzpdNm0zz77jCeffJLKykr8fj9er5exY8cy9PTTWf3CC1wBeIAlwFudHFe9kiTdKQGV3nE64+5Wa3m9fRxM/1RcXMzYsWOpjtINOhpnJ0vbbNq0iccff5wtW7awN47p3z/99FOCwWCnx5J+orUJDqyk0+TzcJl62Pm0ElCR/iIUghitn4cFg30bSxJNmjSJsrIydu/eHbXckCFDGDNmTLttr7zyCo888gj7O0w6tHfvXkpLSwkWF3PHgQNRjzt9+vSeBS6SJEpApXccDkIlJThjfBmGCgvtJVmkT9xwww1s3749ri4/kYqLi49YC/Sll17iv//7v6mrq4v7OHV1ddTW1jIkzRc010QFfah6MTR33VJ+mG8HBJvtdctEJKtZ+fn2DLcxlgcL5eYSHDcuSVH1vby8PCZPnhwzAR0+fDg5OTmHn9fV1fHHP/7xiOSzTW1tLfn5+bjdbgKBQKdlRo8ezdUZNp5WdXP/ozGg0mv+k08mFKN1Mzh8OFZRUZIi6n8mT57Mbbfdxrhx49pVZrGMGzeOkSNHHn6+c+dOHnvssW4ln2B3I4q3y5FkqUD0JQIOCwUgqDHDIv2Cw0FrHIllcPDg5C0JkyQLFy5k8uTJUcusX7+ev/zlL4ef/+lPf2Lfvn1RX9PY2MhRRx3FoEGD2m33eDxMnDiR22+/PebSLiKpplsO0mvBiRNpOekkcpYuxdFhMhoLCI4cSdMll6QmuH7khBNO4JFHHmHx4sV8+OGHWJbFjh072LZtG62trUeUHzNmDD//+c/bbXv88cepqanp9rlLS0spKSnpcex9TXdXkyB/HBg3WJ3flT/MmQeu7FpuQUS61nzGGTh37sTVxVwCweJimr/xjSRH1fcKCgq4++67ueKKK2joYhxsfX09Tz31FLNmzWLMmDFs3rw5rmMXFhZy++2389RTT7Fv3z6cTidnn302J598ckbdDFbd3H/pLy8J4Z83j9Zx4/B88AGO/fvtRaZzcwkcfTQtJ50EbneqQ+wXnE4nZ5xxBmeE13sLhUI88cQTvP/++1RVVREKhSgqKmLy5Mn8/d//PaWlpe1e/2WMdcY6Y4xh1qxZGVXpSR8oOQnyRkNjjKUHCieBQ1WPSL+Rk0PjggXkvvgizl27Dg/ZCeXnExw8mOZzzyU0bFiKg+wba9asiTkj7f79+3niiSf453/+Z6w4x8talkVpaSk33XRTIsIUSTr9CpCECY4ZQ1OHwfSSWg6Hg2uuuYYFCxZQVVVFIBBg8ODBeDyeTssHuzkJhDGGGTNmcP311yci3ITQHdUUMU4ouxC+fBhaD3Vexjscxt6Y3LhEJPU8HnyXXQbNzfbSbYEAwREjsAYOTHVkferNN9/E7/fHLLc9vJxdx5vCXRmWgQm76maJpE+DSD9gjGHo0KGHn1dXV+Pz+SgtLSU/P//w9oKCgriO53a7GTlyJCeccAI/+MEPcLn0VSLAiEvt8Z172OWhjQAAIABJREFUXoTmiMk3jNtuHZ30D5A3suvXi0h283ppjTEuMpt0NvylM45AHcYK8J3vfIdly5Z12WUXYODAgRk3yZBIR/rVKN1i9u/Hs2SJva6Xw0Hr+PG0nHiiuthmiBdffJFFixaxe/duWltbKSgoYPz48dx4442MHTuWc845h7Vr10ZtCS0tLeXXv/41kydPTpvEU3dW08jo78Dwi2FnBTRuBuOAQfNg8Dy7lVREpJ8YO3Ys7777bsxyZbk1zKy6nqFDy5k7dy6vv/56p113vV4vZ555ZrsbyulMdbN0RZ8MiY9l4X3pJdwbNuCImE7d9cUX5Cxfju/887NqCvVs9MADD7Bo0SKampoObzt06BB79+5l69at/OIXv+Dss89m0aJFrF69utNjeL1ezj77bI455phkhS2ZyJUPY69NdRQiIil12WWX8frrr7Nnz54uy+Q44bq5kN9aybj6h/jdD/4/Bg4cyJIlS9i5cyfBYBCXy8WoUaOYP3++Wj8lKygBlbh43niDnFWrMB1axgzgrK0l74UXOHT11Vhxjl+Q5Fq5ciWvvfZau+Qz0t69e7nnnnt4+OGH+d3vfsftt9/O+vXrqa2tBewuvCNGjGD+/Plce60SCxERkVgKCgo455xzePrpp/H5Ol9+6rTJcMUp9r9zrIOManqW6697mAULFvDRRx9RVVXF8OHD+drXvobL5WLfvn0cOnSIkpISBmb5GFrJXkpAJbaWFtwbNhyRfEZyHDiA95138H3rW0kMTOL19NNP0xhjIfCdO3fy4Ycfctppp/Gb3/yGqqoqXnzxRerr6xk/fjznnXce3hjrvSaTuvaIiEi6++53v0tOTg6LFi1i185KgiF7+6gSOGUS/M/3wRUxOiEvsINi/3IOeGcxZ86cw9tfffVVXnrpJXbt2oXf7yc/P5/Ro0ezYMECpk+fnuSr6prqZomHPiUSk3v1antplRice/aAZYExSYiqlywLc+iQvVxMQQE4s3tsWlVVVcwyfr+fd999l9NOOw2AIUOGcMMNN/R1aCIiIlntyiuv5MpLzmLzC9ewYXsTg4vg2rkwuOjIsk78FAa+4IB31uFtjzzyCM8991y7G8k+n4+amhq2b9/OzTffzNy5c5NxKSIJoQRUYnLU1hJXShkIQGtrek9IFAziWbIE18aN9kRKloWVn0/rmDE0n3UWdLE8SaaLd22xUCjUx5H0nu6uiohIpnHkFHDVnHy8oc6HwkQKmK8y061bt/K3v/2ty15MtbW1PPzww5x00kldLrGWDKqbpTu0crzEZA0YEF9Bl8t+pKtgkLz//V87Ad27F0djI46mJpzV1XiWLyf/scegizEamS6ecSJOp5Pjjz8+CdGIiIj0LyFHLs2u4THL+ZzDqMn7qjXzySefpL6+Puprdu3axQsvvNDrGEWSRQmoxNQyfTrB4uL/196dx8dZ1vv/f81MZrLvSZMmTbq3VFqoIJssUixQoAIi3OygR0QPqCgqiOjBA/gVcUGP4k/Ao8BBhRsFQZEdkUVAlhbs3tI2TdK06ZJ9kkxm5v79caclaTJLMnvyfj4eeTzIfV9zz2do2iufa/lcEdsFqqrSevlt9osvkvX++zhCzAZmtbSQ+/jjMb3H4hdfZPGLL8b0jERYvnw57ggz07W1tZx22mlJimhsPjYna/+XiIjIWKRL39ycfzYDjvyQ9y2g07MQv7Nw/7VwFXT3v86yQlavTyT1zTJeSkAlspwc/LNnY4VJLgOFhfSn8/6DYJCsDRtCJp/7uLZvxxGiUmwmyG1qomjVKnK2bx92fcmSJRxxxBG4Qux1LSkpYe7cudx0003ccMMN/OpXv6K9vT0ZIYuIiEwKu/OWsD3/LAYcBSPuBXHR7vkw60u/Mex6tFtoom0nkg40ZCFR6TvjDBxeL1mbN+Ps7x92L1BSQt/JJxOsrk5RdJE5OjtxdnZGbOfq6MC1ZQv+DDvncsqTT1Lz+OPkNTfj6unBX1BAb10dTeeey+4TT8TpdHLzzTdz55138tZbb9Hc3EwwGCQ/P5/S0lJ6e3t54YUX9ndgr732Gi+88AKf+MQnUnrmmEZVRURkItlafCV7c46krvshcv3bcVhBfK4SWnM/zo785ViO4f1eeZTH282bNy8R4Y6gflniQT9FEh2nk97zz8e1bRvZ//ynPUvocOCvrcV33HFYeXmpjjAsRzBoV+iNRpjjZtJR/X33Me3hh3F3d++/5unowNPRQW5jI57du9l+7rlkZWVxzTXX0N/fz8qVK+no6MDhcHD33XfvP+9zqNbWVh588EEKCws5++yzk/mRREREJqzO7MWszo7u6JQLL7yQlStXhj1KberUqZyrY/AkgygBlTEJ1Nfjra9PdRhjFiwqwsrPh76+8O3y8ghMm5akqGKXvWMHNY89Niz5HMrT0cG0hx+mdelS/IP7eLOzsznqqKMA+OY3v8muXbtCPr+np4e//vWvnHnmmTidWrEvIiKSTAsXLuTEE0/k2WefxefzjbhfVFSEYRjk54feWyqSbpSAyuSQlYW/thbXKDN9QwWmTMEqK0tSULGbfv/9ZEc4ozV3507qf/97Nl911bDrXq+XrVu3RnyPxsZGVq5cyWGHHRZLqGFpSY+IiExEoxU/WnniiWN6xte//nWmTJnCP/7xDxobGxkYGCA/P5/6+no+9alPsXTp0vgEewD1zZIo+smSSaN/2TKyduzA1do66v1ASQl9y5YlOarY5DY3R9Uuf8sW/H4/K1asYNeuXUydOpUpU6bgjaLgUn9/P01NTQlNQEVERMYnSFbBWtwFawCLQH81vvajwJo453o7HA4uv/xyLrnkEtauXUtbWxs1NTXMmjULRxqfPiASihJQmTSsvDx6Lr+c3D//GdeOHTi7uoDBZbeVlfSddlpaF1IaLwu4vakJ83Ofo7GxEb/fj8fjoaamhkAU+11dLlfURRDGSqOrIiIyXs7sZnKrHsfl3o3DafdnVsEaPEUr8HUcga/9oymOML5cLhcLFy5M+Puob5ZE00+YTCpWfj7eiy/G0dVF1qZNEAgQmDGDYEVFqkMbl96aGkrefTdsm6uA+1pb6R2SbPp8PrZu3RrVvs5p06Zx5JFHxhqqiIhI3Diy9pBX/TAuz/AjwxwOcHnayC57CSvoYaDzIymKUERCUQIqk5JVWMjAhz+c6jBitu2yyyh7/XWy29pGvb8KMB2OYcnnUMFgEIfDEfL8MLfbzTHHHIPb7Y5XyCIiIjHLqXh+RPI5lNPVh6f4TQY6DyOVx96Pdb8nwObNm7n//vvZMrh9Ji8vj8MPP5yLL76YwsLC+AcpkmRKQEUyWN/UqbQsX07tI4/gHqVE+81ZWez1+8M+w7IssrOz6T/gfNf8/Fw++tHj+PwVV5DT0gKWRf+UKVhZE+Cfjd7t0HAveBsACzxlUHcRFC2yh89FRCS5gkGyVq3C89579nFoHg/9Rx5JYNasUf5d9uPK3hHxkS7PHlx57xPwzk1MzAnw1FNPcc8994w4Hm3jxo288cYb3HbbbVRVVaUoOpH4mAC/SYqkn6FV78Yz+jkWDZ/9LP1TpjD1iSfIbWwky+vFX1CAt66OzV1d0NgY8RkfmWkxd4qD9dstgkB1MXx1mYPD31sPV34Oz267IxwoLaVj0SI2X3UVgXGe/ZryvSWNf4CmB8F3QEXk9hVQfiwc9G1w6MgZEZFkcbS1kWeauFpbcQxZsePavJlgbS09F1wAOTkftHf14nD2j/ao4c91+nF5WvcnoMnsm8dj+/bt/PrXvx71bG6ALVu28N3vfpdf/vKXcS8+lPK+WSYV/bSJTAA7PvEJdixfTt7Wrbg7OvCVldFbX8/Al78cVQJa6PHx288PuTAA/MCLtXYbQ7s4T2cn+Q0NFGzaxHs//jGBTDt3bPer0PgADHSMvBfogV0vgKccZl+d/NhERCajgQHyH3wQ186dI245BwZwbt1K3kMP4b388v3XraAHy3JFfLRlQTCQOf3Uvffey+7du8O2aWho4N1332Xx4sVJikok/uKSgBqGsQz4GeACfm2a5m3xeK6IjIHDgXfmzGGXZsyYwXvvvRfxpcccuDrp98BaCDW+WrRuHXN/9CPW3XTTuEJNmeaHRk8+97H8sPefMPNKcGrfq2Q29c2SCTxvv40zxPFo+7i2b8fV2Eigrs6+YGUTHCjD5e4M+7rgQBn+7gXxCjXhtmzZErGN1+vliSeeUAIqGS3mBNQwDBdwJ3Ay0AS8aRjG46Zpron12SISm8suu4zXXnuNXbt2hWwzawp89bQhF/zA6sjPrlixAldPT1SzoGmxtMffBb2RZ4PxNsHe16DihMTHJJIg6pslU2StW4cjRCG8fZz9/Xhef53efQko0N9+NC7PTpxZvaO+xrLA752RUeeBRnM0GkBuU9Ow5cQHinZ5cVr0zTIpxWOj05HAJtM0N5um6QMeBM6Kw3NFAHA2NZH94otk/+MfEUdJZbiKigouuOACSkpKRr0/tcTJredBYe6QizuAvZGf7Wxvp3BNBv0u6++GgC+KhoGR+0NFMo/6ZskIjoGB6Nr5hv/7Heg5CF/7MQT9I+sRWEEX/p659O06Iy4xJktBQUFU7V7eupVrHn+cjr6+BEckkhjxGPqoBYZOKzQBR8XhuTLJOZuayH3ySZy7d+McrNDqef11glOm4D3rLKyyshRHGJ3RRhj/sSl8Zdp4+tSnPkVNTQ2madLY2Eh/fz85OTlMnz6d7y1v4pS5B1QSDALhB6MBe3muM8rR2rTgLgZXLvjDLMEFcHogty58G5H0p75ZMkOUldUtj2fEtf62ExjomUd22cs43XtxOIIE/fn4Oj6Cv+cgws2zpLpvHs1JJ53E6tWrI86EtvX2ct8777CypYU/X3oppeMsCiiSKvFIQEfbJjbi11fDMK4ErgQwTTMObysTmXP7dvIffhhnx/Bkwdnbi7Ohgfzf/Y6eyy7DKi5OUYSZ5ZhjjuGYY46ho6ODrq4uiouLKSwsZP7e/we9BySgVUAxEGFgNVhYSPfcJJS293vtqrV7X4dALzjcUDgfZnwGsqdE/xxXHuTPgv4Ipftzp0PJYbHFLJJ66pslIwzMn4+roSFkzQGAoMeD78gjR7/nq6Z3x3mJCS7JzjjjDJ599llWr45iHwzwbksLX3zsMX534YUJjkwkvuKRgDYBQ6cLpgHbD2xkmubdwN2D30YxvyKTWc4zz4xIPody7dlDzlNP0Xv++UmMKnrFVywd9XqqR1eLi4spHpK0by38DCX975ITHFJ9MBuYDYwsSDhM20EH4SsvD9sm5v0lfTth1XXQ8/7w6z0boO1NmPs1KD8m+ufNuAJ6NkF/iKXcrgKYulzHsMhEoL5ZMoLviCPwrFyJK8wWm2BNDYH6+pjfK1375n3cbje33347t9xyC+vWraO9vT3ia95sa+PFxYtDbrUZjfZ+SqrF47esN4G5hmHMNAzDA1wAPB6H58ok5WhrwxWmaM4+rh07oD/yOWCTyZ49e2hoaKCrqyuq9v3uqWwo/RpeV+3wG5eBVRd6PNo7bRobv/rVWEKNzLJgzXdGJp/79O+ATT8BX1v0zyycB3Ovg9x6Rvzzl10FdRdC7afGHbJIGlHfLJnB7abn/PMJVFVhOYf/u2xlZeGvq6Pn/PMhzudepqv8/Hxuu+02br75ZjyjLDs+UGtrK2+//XYSIhOJn5iHQEzT9BuG8UXgaexS778xTTO6tQMio3Dt2IGzpydiO0dPD872doJVVUmIKjqhRlf32TfqGO/R1ueff54///nPNDc309/fT35+PtOnT+fTn/40Bx98cNjXtuUcyTtTfkVd10MU+VbhtAIMVBay44enUv2zpyjYtImcwQGB/rIyembOZOO119JfUxPXzzAysH9Bz+bwbfpaYNv9MOea6J9bfjSUHgYtf7FnUS0L8qZD/cX2PlGRCUB9s2QSq7yc7iuvxL1yJe41a3D4/VgeD/2HH05g3jxwxjZfkqq+ORaVlZXk5OTg80Uunuf3p0/cItGIyxy8aZp/A/4Wj2eJWFlZWIQ+g3I/pzPq4gUT2X333ccf//jHYbOePT09tLa2smXLFr7yla9w3HHHhX1GwFnI1uIrRlzf8/2P4d67l5KVKyEYpHPRIvqTlfDveAKCUVT46xxSideyoHs9eLdCVomdaDpHGUF2euyZTs12ygSmvlkyisvFwOGHM3D44amOJC1UVFRQUlJCZ2f4s05LSkoiDjSLpBv99i5pJzB9OsGyMlx7w58FEiwuJlhamqSo0tO2bdt49NFHQy653b17N3fddRdHHHEE2dnjOwttoKyMXSedFEuY4xOMrjQ/1uDI764XoPEP4G2AgBdwQl4dlB4Js78IDlfCQhUREYknt9vNwQcfzLZt28K2mzFjBtOmTUtSVCLxoQRU0o/Hg7++HufevSFnQS2nE38cluXEQ6SlPcN0bYCeTXyspBBKjwBXzv5b41n6c//990csUtDU1MRf/vIXzj333DE/P6U8FdG1c+VBy19hy10wMHQ/aNBORr3NdtGhD906afYQiYhMdmPqmwel29EsV111FRs3bmTTpk2j3p86dSpf+tKXkhyVSOyUgEpa6jvjDFxtbaOWZrecTgbmzqV/yZKUxDYue16FhvvAuw0C3YADcmrt4z7mfhWc7nE9dvv2EUUtR7AsixUrVoRMQPv6+njyySfZvHkzxcXFnHnmmUyZMobjTRKl/hLY8xL49oRp5ILKj0Pj7w9IPofy20e47H4ZKk9IRKQiIiJxV1hYyI9//GNuv/12Nm7cSOtgpeDi4mJmzJjBl7/8ZWbPnp3iKEXGTgmopCe3m55LLyX75ZfJ2rABR3c3OBxYhYUMHHwwvqOPTovZz6i0/h3e/+kBiZQFfU2wY7tdzXXRD8f1aMuK7tSElStX8tJLL3HCCR8kYJZl8dvf/pYXXniB5ubm/c968sknWbBgATfeeCO5ubnjiisucqqg7CjY8QwQYgS6aIG9T7S3Kfyzgv2w/REloCIiklGKi4v53ve+R1tbG2+++SZ+v59DDjlEy24loykBlfSVlUX/kiX0n3giDAzYyyfd45spTBnLDw2/CTOLF4S2t+2KrCwf8+PLysqiatfT08NPfvITfD4fS5fay5LuueceHnnkEfr6hhf62bNnD6+88grXXXcdd9xxB1mpLPQ073rABW1vDD+7M6sICufDh26GDT8EgpGfFXKGVEREJL2VlpZyyimnpDoMkbhQAirpz+GAKM7CSkutL0SenSMAO5/hYx8+e/+VaPecXHjhhaxcuZKeKI6taW9v54EHHuDEE0/E6/Xy/PPPj0g+h1qzZg3PPPMMp59+elSxJITDBfOvB99eu8BQf6u953PaeZA/a7BRtDPh2v8pIiJjM3RfaDod0yKSyZSAiiRS21tgRVHNdZyzcwsXLuT444/nhRdeiOqssMbGRp577jmamprYuXNn2LaBQICnn3561ATUE9iDJ7Abv7OAPldN4ov7eMpg9tWj36s4Dna/BFaEz59THf+4RERERGRMlICKJJIj8ftUr7/+eioqKnjwwQcjHkYdCARYsWJF2JnPobq7u4d9X9S3kg8H7rery/q7wJkDudOg+nSoOTvEUxKscglsux96Nodu4yqEuouTF5OIiEgSjVbBVyRdZUgVF5EMVbkUnFEU8smpGvdbOBwOrrjiCqZOnRpV+66uLlyu6M7EHNquwvsiH2q7Bdrfsfe0Bn3g74SuNfD+L+H9O8cVf8wcLphzLWSHmOF05cPUM6B4UXLjEhEREZERlICKJFLp4ZBXH76NMw9qz4v5raqqokti33rrLTZs2IA7ioJOM2bMAMBh9TOz89dkB0MUUwp6YccT0LU+2nDjq2QxLPwBlH/UTkRdBeAug6KFMPtLMPuLqYlLREQkGQY67TOxG/8Abe9AlFXyRVJB8/UyoQw9eLrj18+NuD7atfEY+pyh/z3i2Q4HzLsB1nwL+kY5s9OZA1VLofzYmIsbnHfeeaxZswav1xu2nc/no6mpKeIsaHl5OZdddhkAU3seJzfQHD4Afyds+z84+NYxxR03BbNh4e3g77FnaF15kF2RmlhERGS/tOubxyDdCw85rX7mtd0Ou1fbx7qB/btFXj1Mu8j+HUMkzWgGVCTRCufAop9AxccgpwayCu3ZucKDYdZVMO+6uLzNUUcdxamnnkpeXl5U7QOBQMhZ0NLSUj796U/vP2espP89HEQxmtoXvrBRUmTl2x2vkk8REZnAHJafhbuvZ0rv8x8kn2Cfj929wT6DfMfTqQtQJATNgErGijSSOdr9WEZWoxYM0nXrAzh8PoIlJVhFRYM3llD8mW/bs3POnIQkSNdccw2zZ8/mqaeeYu3atQQCgbDtHQ4HRx99NLt27aKnpwe3282MGTO49NJLmTdv3pCW0S7l0ZIfEZHJLG37ZkafFU3m+8fb1J5HKfa9F/qQsYF2aHwAqj4ODv3KL+lDP40i8WJZZP/jH2StW4dz714cfj9WXh6Bykr6TjqJYF0duHLtqrEJtHz5ck4//XQuuOACWltbw7b1+XzU1tZy2223YVkWjhDHqXS5F1DR92rkWVDNOoqIiCTFlN4XcRIM38jbCDufg+plyQkqkSwL9r4Brc+AFYCCeVB7jv27lWQUJaCTUCJG+kKNKo5HJoxEjtjPYlnkPvII7jVrcAyZdXR0d+Ps7sb58MP0nnUWkJzP5nA4oq50u28ZbqjkE6C54ByqvX8jL9w+UFeBjjoRERkn9c2xC7XXNJN4vV56e3spLCzE4/GEbesOtEfxRD+0r8j8BLR7M6y/Fbzb7CXGALtegJa/2MfA1V2Q2vhkTJSAisRB1rp1uNeuHZZ8DuXq7CTn6afh1isgysQwFg6Hg6qqKlpaWsK2Kyoq4uSTT474vKAzl8bCi5jRcQ/Z1igdnjMbpizRUSciIiLj8NJLL/GnP/2J7du34/f7ycvLY+7cuVx55ZXU1NSEeFWUpVycGf7rfl8rrP4W9DUdcMOyr227F5weezZUMkKG/0RKuoxIhooj3AhkusQeD54338ThD18pz7VnDz1f+zn+hQtH/exDD5GOR9W9s846i3Xr1tHX1xeyzfTp05k9e3ZUz9uRfwYDzkLquh4iz9+A2+q2/8HPrYfKJVB/Wcwxi4hMBOnSv40WR6SZwXSJPZn2/T9JRt88mnvvvZc//elPdHV17b/W1tZGc3MzGzZs4KabbmL+/PkjXtebVU1eoDHss4POfJxVp8U95qTactcoyecQ/m5oeQxqzrLPBpe0pyq4InHg7OyM2MYRCODesCEJ0diWLFnC0qVLycnJGfX+9OnTufHGG8f0zD25J7Byyp2sqLyT98p+AIfeCYf/BqZfbh85IyIiIlFbt24djzzyyLDkc6jt27dz++23EwyO3OvZnH8ufkd+2Oev2NzP0s/fw4uvvROXeJPOCkDX2sjtvNtgz6uJj0fiQgmoyAT2ta99jauuuoqFCxdSXl5OaWkpdXV1nHrqqdxxxx1UV1eP67m97um05R4FRQvAoX9GRERExuN3v/sdnREGsZuamvjnP/854npb7lG05J3OgGP049fWbYfzf+bn+Vfe5qKr/5sHHsnAI1n8PRAIf745ANYAdL+f+HgkLrQEN4Nk4rKYTIwZgP5WaLgPepvtmb38uVB/MbiLRzQtvmIpPPcXeGV32EdaLhcDc+eOOZR9y3/Gs/TH4XBw5plncuaZZ9LZ2YnP56OkpISsrPj81R8a09BlSiIik0Wm9XOZFu94JbogUSx981Dbt2+P2Ka/v5+///3vHHfccSPubS65mi73XCo7HsW3dz1OR5AOL/zrfbj+QdgxWLahpXUPN/3ofznz5OMoKgw/a5pWXDnRHyHjLklsLBI3+o1R5EBb7oEdT4BvSELZ9qZdba3+Mqg5c+RrLvskvL0KevtDPjZQXo7/4IMTEHB0ivafRyoiIiLpwLKiOz97tCW4++zKP4Vv3b2aF55ZS64b9vaAf5SaiJu3befHdz3If3/9s+MNN/mcHsithf4d4dtlV8OUjycnJomZEtA0NVlGKNNO8x/tr0DPyHv9O2DrPZA9BcqPHn7vtI/BEy/Ck/8A38DI11ZXkvXD6yhecvTIe6MYbTYxGYUQYhEuJs2OishEoL45M8Xrzy0RfXNx8ciVVQdyOByjFiEaauvWrXT1Qldv+Gc99c/VnDQYZ8b0zdMuhO4N4B99nywAxYeAWwPtmUKbt0T2sSxo+dvoyec+A23Q9PuR1x0O+MVN8J8XwYLZkJcDTidUlsFHD4P/778hyuRTREREJofly5fvP487lNraWs4+++ywbeIxk5q2yo+2k9Cs0ZL1LCj5CMz/ZtLDkvHLkKGPyUEjqynWuRp6GyK3824DXxt4SodfdzjgG5+Dr30WVm+Enl6onwo1VXEPNd1nQw+kvaIikqnUN0u0xtM3L1myhGeffZY33nhj1CSyqKiIc845J2RF+30qKyujer9p06aNGmPa983TL4Oyo2Db/0FvE1hBe8az+nSoOlXHr2SYNP9pE0mivp0QDL2Hc7+A154JPTAB3cfphEXhl8qIiIiIOJ1Obr31Vu644w5WrFixvyhRdnY29fX1nH322ZxxxhkRn3PppZfy5ptvhq2oW1FRwSWXXBK32JOucD4cfGuqo5A4UAKaBjS6miZyKu3N7kFf+Hau3FGr4aZKvCrxiYjIB9Q3SyzG0jdnZWXxjW98A6/XyyuvvEJ7ezuzZs3isMMOw+mMbrfcjBkzOOmkk3jqqafo6+sbcT8vL4/TTjuNioqKsX0QkQRQAiqyT9FCyJ0OPRvDt8utA095cmISERGRSSEvL49TTjll3K+/5pprKC8v54UXXqCpqYmBgQGys7Opq6tj2bJlnHvuuXGMVmT8lICK7ONw2vsItjZBMEQZuawSmHZBcuMSEREUrGG8AAAf7ElEQVQRicDhcHDppZdy0UUXsXLlSnbt2kV1dTWHHHJI1DOpIsmgBDRFtLQnTdVdAL49sPMpe5/nUJ5KqLsYKkYeBJ0OMqUwUUYVPRCRSUV9s8RbKvpml8vF4YcfPqbXqG+WZNJP2GRjWXaCZQUguxwc+hEYYfbVMPUs2HYf9O0AHJA/067AFuvS264NsO1+6G+1v8+usp9bMDfmsEVERNJGX8sHFeNzpqY6GhFJI8o+kiilI6uWHxruhT3/hP5ddiLqKYHiQ2HWVZCVn7rY0lHeNDjoxvg+c9PP7JnVoQcpd62B9negahnM+dK4HpvOs50iIulOs55x1voCND8MvY3g7wFXPuTVQe25MOXjqY4uadQ3i4SmBHQysPyw6puw900g8MF1fzt4t0LXWjj0Z5BVmKoIJ74mE1r+OvreUn8HtPzFHiGepgIBIiKSoZpMaLjP7tf28bdDZzt4G6B/J9RdlLr4RCQtaEdyEhRfsTS1I6xbfzsy+RyqewOsvy2pIU0qlmXPfIYqbAQQ9NptRjmEWkRE4i/lffNE49sLjQ8OTz6H8ndC08PQvzu5cYlI2lECOtFZQXvZbajkc5+udTAQotOQ2PRsht6myO16m+wRYhERkUyz7f/A1xq+jW+XXQdBRCY1LcFNkLQZVe1v/aDgTdh2O6HtrUm1PyNp/F0QCDP7uU+gd/j+0AlK1fVEJFXSpm+eiHq2RNfOuzWhYcj4qG+WZNIM6ERnBYAol3VaAwkNZdLKroSsosjt3IWQXZH4eEREROJOW0hEJDoxDXcYhnEe8F1gAXCkaZpvxSMoiaPsSnCX2HsvwnGXQNGi5MQ02eTWQl49dP47Qrt6larfJ9AL7SvA3wuFc+3/fyISFfXNkhK59dD+duR2OdMSH4uIpLVY59tXAecAd8UhloyXlkt7nB4oWgi928K3y5thJ0qSGHUXwoZGGGgf/b67FOovSW5M6SjYDxt+DB3vQV8zYEFWMeRPhxmfh5JDUx2hSCZQ3zxEWvbNE9H0y2HPy+ALU2TIU263E5FJLaYluKZprjVNc328gpEEmf1FyJ8T+n72VJjz1eTFMxlVnAAzvwA5Byb5DvvarP+E8o+mJLS0ERyA974OO/8GfU3sX87l77AT0rXfhbYoRtdFJjn1zZIS2RVQ80nIKhj9vqsApp4FOVXJjUtE0o52HMdB2o+uuovgkDtg/fehe6NdhQ4GZ5ZmwJxroWB2SkOcFKYuhykn2WXou9ba1wo/ZJ/96cob92PDFQ5Ix4Owh8Y0LPbGP0DHu6Ff6NsFm++Ew/4XHI4ERigiE0Ha980T0fTLwVMGLY+DdxsEeuz+Lbcepp4JNWemOsKkmTB9s0gCRPwJMwzjOaB6lFs3mqb5WLRvZBjGlcCVAKZpRh2gxImnFBbdDr49sPcNCPqh+FB7aaMkjytvwiw/siyLFStW8OyzzxIIBFi8eDGnnHIKWVnj7Lj2vAwEw7fxNtrVmsuOGN97iEwQ6pslbU39BFQvt48g8+21E9L8WckbOBzwQ0Ozfa52fQ1ke5LzviIStYi/KZqmGZchRNM07wbuHvw240ulZezIqqccqk9PdRSSJKFGMWMdfd28eTM/+MEP2LZtG7299hEzzz//PA899BAXX3wxp5xyythisgL2LyqRBHuh7V9KQGXSU988uoztmycah2NwZVUSV1f19sHNv4DXV8LO3XYCWlUOH1kE370GCsa/0ijeEtU3x0KznpJM+mkTkTFpaWnhO9/5Ds3NzcOuBwIBGhoa+OUvf4nb7WbJkiVjeKpj8Cuapq4xPFdERCa83j648Cvw1qrh17t6YNM2WPM+PPhTKAqxP1VEkiqmIkSGYXzSMIwm4BjgCcMwno5PWOmr+IqlGmGVSe2uu+4akXwO1d7ezoMPPohljWEyxeGE7CmR27kKofKk6J8rMgmpb5ZJ579+OjL5HOq9dXDDj5IXj4iEFdMMqGmajwKPxikWEUlz/f39bNy4MWK7bdu2sWrVKhYtGsPZstWnQ9c6sHyh2+RPh8J50T9TZBJS3yyTSr8P/vVe5HYr10K3N62W4opMVjHNgIrI5NLR0UF3d3fEdr29vbz//vtje3j1GVBxPDjco9/PnQbzvzW2Z4qIyMS2qQFaWiO3a2yBVRsSH4+IRKQ9oCFoKY+kBcsPOO0lqmkgJycn6iq3BQWj77UJWerd4YAF34XGB2DXP6CvxS5O5C6Cgnkw62rInRpL+CKS4dQ3ywiBAASj2PJhWRCMUGl9EtMxLJJM+gkTSTeBXmi4z672OtAJOOzEq+YcqDwxpaEVFRVRU1PDnj17wrarqanhox/96NjfwOGA+kuh7hLo3wFBH2RXxnROqoiITGCz66Gqwj56JZyaKbBAZ56LpINJm4BqFFXSkr8L3v0qdK8bfr2/BTrXQftKmPuVmN9m3+hmtCXfA4EAL730Ek8++SRtbW04nU6CIUaSHQ4Hhx56KHl5MSSNDgfkaLZTZLJR3yxjlp8Hh86PnIB+aA6UFicnpnEaa98skqkmbQIqkpbW3jIy+dwn6IUdf4OihVCVvF/SOjo6uOGGG9i4cSMDAwNh27pcLhYvXsy1116bpOhERGTS+97XYEMDrAtRe2DudPj+N5Ibk4iENKETUI2kSkbp3wXdEQokBL3Q8ue4JaBD93mMNuJqWRbf/va3WbNmTchnuN1uqqqqKC0t5eSTT+b000+Pep+oiEw+6psl7kqL4aGfwjd+AKs3QvNO+/rUSlgwB35wHVRXpDbGMYjUN4tkOv2WKJIuWp8F3+7I7fpaIDgAzhDVYuPonXfeYdOmTWHbBAIBzjnnHM4555yExyMiIjKq8lL4zW2wtx3eWW0XJvrwh6CyLNWRicgBMjoB1SiqTCiB3ujaWcGEJKCj7T157LHH6O0NH1cwGOTll18Om4Cqop7I5KG+WVKqrASWHpvqKOImkftC1TdLqqTH2Q4iAoUHgzM7crusQnDlJj4eoK+vL6p2Pp8vwZGIiIiIyESgoQ+ZPIID0Po89GwGTylUnw7uNKqIV3YU5NZDz8bw7UoW21ViA15ofmRw36gTqk6BsmPse3ESbSXb7OwoEmcRERERmfQyJgHVkp40Yvlhx5Ow8yn7nEqHA3Jqof4yKFqQ6uhG13A/tD4N3iYgYF9r/iMUHwLzbwCnJ6XhAYNnYF4Cm34KA22jt8mfDTM/B9t+Dy2PQd+QsvN7Xobc6XDQjVAQn7POzjnnHP71r3/h9XpDtnG5XJx00klxeT8RySzqm0VEZKwyJgGVNBHsh39fZ59HuS+RA3tWseM9qD0XZnwmZeGNass90PSwXUF2qP6d0PocDLTDoh+Bw5Wa+Iaa8nHAgm0PQO82CA4ubXWX2Mnngptg5zPQeD/4u4e/NtgPPRtgzY1wyM8gpyrmcBYtWsT8+fNZsWJFyDazZs3i1FNPjfm9RERERGTiS5sEVKOoGWL9D6D97dHv+Tug+WEomAcVaVIAYKATdj49Mvncz7KT6V0vDiZ/aWDKUqg8CXa/Ap3v2ftCq5ZBXh1YAXvm88Dkc6jeJthyNyz4TsyhOBwObr31Vm688UbWr18/rCCR2+1m1qxZ3HrrrbjdoxdEUoEDkcymvllk4lHfLKmmn0CJ3kCnPcsZjr8Tms30SUCbHoT+HeHbWAPQ8pf0SUABHE6oPMH+GmrPq+BtjPz6rrV2shqHWd38/HzuuOMOVqxYwaOPPorX68Xj8bBs2TKOP/54nE7VMhMRERGR6KQsAdWoagba9XzkZA6gt9leDhpNRddE8zZE167jXfj316H2Aij7SGJjikX3+3bCHEnAC/4ecBeN+S1CjYyeOPdIvmocGfJ1+0rEa2RVJHOpbxZJT+PtW9U3SzrST6NEz9cRXTvLD4E0SUAdUc7OWQOw93Xo+LddTXbu1xIb13hFW7XXkQWunMTGIiIiIiIyRlo7J9ErnAuOKKrFuvIgKz/x8USjcunYKtwGeuwKv01/TFxMsZiyFLKrI7fLnZb0yr4fm5OlEVYREZE0or5Z0pESUIle2dF2IZxIChekR0VZgIrj7bM1xyLYZx/ZYlmJiSkW7iIoPhQIc9ZnVhFMuyBpIU1qlgV734T1t8G679kViq1A5NeJiIiITFJKQCV6DhfUfBJchaHb5NbBzC8kL6ZIHE446Dv2jOBY9LbYx7Sko/nXQ8lH7GW2B3KXQN2FUH508uOabLrWwTufhdXfgh1/hZ1Pwvrvw1uftqsqi4iIiMgImpOXsak5G4IDsP0Ru9gQQfu6Mxfy6uGgb0NOZUpDHKFgNhz6C/tokrY3wbcr8mssn13IJx05PXDIj6D1WWh5wq5O7HBC3jSovwwK5qY6wonP2wBr/gv6tg+/bg2AdwtsugOcORoIEBERETmAw0rNMkOL5ldT8b4SL4F+2P5n+7gPh8s+p7L0I+AIszQ0HXRvhhX/CcGe8O2yq+Dw346tiuy/18NrK8DthlOPg5qq2GKV9LXqm7DnlfBtihbCh3+VnHgEao+FsGvTJQrqm0VEJH5C9M2aAZXxcWVD3fmpjmLsCmZBwUzoXBW+Xf6s6JPPt1bBLT+HjQ3Q2W1f+/n98KE58NNvQ0VpbDFLevF77eNwIunZag94FMxKeEgiIiIimUJ7QGXyqb8U3GWh72dXw8zPR/esd1bD1TfB26s/SD4BWvfAi2/ABV+BtiiPr5HM4NsF/q7I7QLd0BNFoioiIiIyiWgGVCaf8mNhzpeh4bfgbQIGq5Y6PXYRpTnXQsGc6J51yy+gOUyxonXvwy2/hJ/cEHPYkiacOeDM2v9jE6YhZBUkIyIREQmj49fPjbhWfMXSFEQiIqAEVCarKUuh4kS7cmn7O4ADKk6wvxxRLgxYv9ledhvJ2/8G3wB43LFELOkiewrk1MBAe/h2udOg9LDkxCQiIiKSIZSAyuTlzIKpn7C/xuPtVdDeGbldWwfs2gO11eN7H0kvDoc9gNGz2T4zdlROKDkcnNlJDU1EREQk3WkPqMh4ZXuia+dyQZbGeiaU2vOg6mRw5o1yMwvKjoQ51yQ9LBEREZF0p9+KRcZrydFQWxV+DyjA1CkwpTw5MUlyOBww73ooPw6a/wh9OwELPKUwZRlMPcM+nkhEREREhlECKjJeZSWwaH74BNSdBaedkP7no8r4lB9rf4mISNpSwSGR9KIluCKx+Mm34JCDRr/nzoKlx8LVlyQ3JhERERGRNKUZUJFYFBWA+T9w+93wz3dgb4c921ldCcuXwOcvAKfGeUREREREQAmoSOwK8uDmr0AwaFfFdTqhuFDLbkVEREREDqAEVCYnfze0PA69zfa5jjVng7s4tmc6nfa+UBERERERGZUSUJlcrCBs+insfR36tn9wveVx+9zGedfZ54OKiIiIiEjc6TdtmVzWfx92Pgv4h1/v3wk7nwJ/Fxz8/7R8VkREREQkAVQdRSaPngbY8xojks/9gtD+NnS8l8yoREREREQmjZhmQA3D+CHwCcAHvA98xjTN9ngEJhJ32x4Af4Qfz4AXmh6EkkOTE5OISJypbxYRkXQW6wzos8BC0zQPATYAN8QekkiCDOyJsl1HYuMQEUks9c0i4QR6oXsT9GwGK9SqKBFJlJhmQE3TfGbIt68D58YWjkgCOVzxbScikobUN4uE4GuzCxF2rQPfXnA47Ur4JYfD7KvA6Ul1hCKTQjyLEP0H8FAcnycyfgOd9lJa7zZwuKH6dCg9Cva+AQTDv7Z4UVJCFBFJAvXNImAnnO9+Bbybh1/3bgHvVuh5Hw75CTjdKQlPxsjfDY2/h7a37BltpweKFsL0y8FTluroJIKICahhGM8B1aPcutE0zccG29yIXdnld2GecyVwJYBpmuMKViQiy4Itv4LW56F/xwfX97wCefXgqQbf9tCvz6mBugsTH6eISAzUN4uM0frvj0w+97OgYyVsuQtmfzGpYck4eBth9bfswYOhutfbx+zN/5ZqeaQ5h2VZMT3AMIzLgS8AHzdN0xvlyyyaX43pfUVGteUeaHoIgn2j38+eCljDk9P996pg7rVQfmxCQxSRBKg9FkDnJw1S3ywyhG8PvH0F+HaFb5c/Gw7/jbbipDMrYP9Z9mwM3Sa3Dg77NWTlJy8uGV2IvjnWKrjLgOuBj42hgxNJjECvPfMZKvkE6G+B6uVgBaFrrf0aVw7kz4UZ/wF5dcmLV0QkAdQ3ixyg7Z3IySdA/27o3wU5oy0ukLSw60XwNoRv09tob8Oa8dmkhCRjF+se0F8A2cCzhmEAvG6a5hdijkpkPFr+An3Nkdt1rYeP/Nb+b8sCxySYNLH8dtI9kQos+PaAvwc8pZBVmOpoRNKJ+maRYQLRN7Ui1ImQ1Gp9Fixf5HbtKxIfi4xbrFVw58QrEJGY9WwBolhS7u/+4L8ncvJpWbDjCdjxN+jfCVjgLoGyY6D+MnBlpzrC8dnxNLT8GXqbIeizl9jkzYSZn4PC+amOTiTl1DeLHKB4MbjLYGBv+HaeUrsqrqSv4ECU7XS8TjqLZxVckdRyF0XXbjJUuLMsWHcL7H7RTtL26W+F7g3Q/rZd7c+Vl7IQx2XLPdD8JwgMGUQIdNsJtnczzPsmlB2ZuvhERCT95FRD/kxoj5CAFi8G5wT51diyYNffoeUx+/gZgJwqu9BiyWGpjS0W7pLo2mVl2O83k4wz1QGIxE3NJ+0RzkjyZyY+llRrMu19EsEQy1Q6V8H625IaUsy6N8L2Pw9PPofqb4X3/0ejniIiMtLcb0DutND3CxfYZ4FOBFYAVn8b1t9qDzh7N9tfe1+DVTfAxp+kOsLxq78YsiJMODg9MPWs5MQj46IEVCaOnGooWhC+jafMPiNqIrMs2PVc5D0SnWvs81IzRcP94O8I38bbCDufTE48IiKSOfKmwaIf22eCeyo/uJ5TA5VL4ZCfZd6qoFDevxP2vDr6IHSgB3Y8Cc2PJD+ueMifNTiDGyaFKfwQVByftJBk7CbIOgORQQtugve+Dp2rGVF0wFMBM66AgnkpCS1pBtqgb2fkdv077POyqk5JfEzx0Bfm/Nb9AvZnmvqJhIcjIiIZJrcWDvmxXe22e5N93ErRwRNruWZwANr+hX0EcKg2vbDzKag9J2lhxdWC78L670H7O3ZBwn2yiu2JiAU3g0NzbOlMCahMLK48OPR/7FmwnU+Dv8vuYPJmw/RPQ15t8mMK+u09GK3P2fswHE57trbWgPKjE/B+Pnv5TTQCmXRCQ2xnFouIiACQXWF/TUQdK8G7LXK7vu3QtyMzj5xxZtkTDv2t0PgHOwnNyofa8yF/RqqjkygoAZWJx5llz4ClwyxY0Af//ga0r2TYjGzvNnsfZtXpMPcr8X1PT5ldkCnSclVXgb1MJVN4yqNrV6BKuCIiMkkNdAJRHCUTHLDPQs9k2VNgzjWpjkLGQfPTIom0/od2AYDRziALeO1jUlqeiO97Oj3RJZZ506Ewg5Yj1xrgzA3fJqcWpp2bnHhERETSTd4Me4A5kqyCiTsLLGlPCahIovh7oPPd8G2CvbDjr/F/79lftDuhUDyV9rmZmaT0I1B+LDhCLNzIKoZpxsQpIiEiIjJWBbMhrz5yu/zZkFWY+HhERqEEVCRR9rwaXeGcvpb4V6P1lNrV/oo/bCdm+zhz7SJM879lJ3SZxOGABf8F084fTK5d9nVnHhQcBHO+DLWfSmWEIiIiqVd/Sfhj6bKrYOaVyYtH5ADaAyqSKP6u6NpZfgj2ARHOtRqrnCpY/HPoWANb77bjKVoIMz+fuRX/HE6Y9Z8w43N29buBvZA7HQoPshNUERGRya7iBHt/Z8N90NvM/m1ADo99HM2ca6FgTkpDlMlNCahIohTMs2fnghEqzboKwF0S//cP+mHD7Xai1r/Dvta9wT6mpOJ4mHV15iZtziwoOzLVUYiIiKSnqlOh8iR7m0/7u3Z/X348VJ6oI0ok5ZSAiiRK0UJ7H0b3uvDtCufbhYPiybJgzbdhzz8ZXg3Pgr5m+wDqQA/Muz6+7ysiIiLpwemGmk/aXyJpREMgIonicAzuwygN3SZnGsy6Kv7v3bEC2t4hZCl2ywe7X7X3n4qIiIiIJIkSUJFEqjwRZn8J8mYOr97qyoPCBbDoNnuvZrw1mZGX/g7shYb74//eIiIiIiIhaAmuSKJVnQJTToKdz0H7CnC4oHoZFC1K3B7MgY7o2vW3Jub9RURERERGoQRUJBn6d9vFgLo3QHAAejZC6RFQd5F9GHS8RVtgwOGK/3uLiIiIiISgBFQk0Xa/DJt+Cv07h1/vWmvfW3g75E6N73sWLoCOdyM0ckH5MfF9XxERERGRMLQHVCSRfHth089GJp/7eLfA2u/YVWvjqf4SyK4O3yZvGlQvj+/7ioiIiIiEoQRUJJEa7vvgDM5QerbC3jfi+77uEph9NXgqR7+fMxXmfdMu0S4iIiIikiRagiuSSF0RzgAFCPbBzieg/Oj4vnflEvsc0q2/hZ73IegDZw4UHgQzPge5EWZIRURERETiTAmoSCJZ/ujaBaNsN1b5s+HgWz+IxaG/8iIiIiKSOlqCK5JIrvzo2mVXJDYOUPIpIiIiIimnBFQkkaqXEXGhgacc6i9NSjgiIiIiIqmkBFQkkapOgaIFYRpkQdkxkD0laSGJiIiIiKSKElCRRHJkwaIfQenRkFUy/F52FUw9A+Zdl5rYRERERESSTJvCRBItKx8O+RF4t0GTCf5u+xiUuvPt41JERERERCYJJaAiyZJXD/O+nuooRERERERSRktwRUREREREJCmUgIqIiIiIiEhSKAEVERERERGRpFACKiIiIiIiIkmhBFRERERERESSQgmoiIiIiIiIJIUSUBEREREREUkKJaAiIiIiIiKSFEpARUREREREJCmyYnmxYRi3AGcBQaAV+LRpmtvjEZiIiIiMnfpmERFJZ7HOgP7QNM1DTNNcDPwV+K84xCQiIiLjp75ZRETSVkwJqGmanUO+zQes2MIRERGRWKhvFhGRdBbTElwAwzC+B1wGdABLYo5IREREYqK+WURE0pXDssIPjBqG8RxQPcqtG03TfGxIuxuAHNM0bwrxnCuBKwFM0zyc5lfHHbSIiMgwtccCOFIdRrKobxYRkbQXom+OmIBGyzCM6cATpmkujKK5pU5ORETiZpIloNFS3ywiIikTom+OaQ+oYRhzh3x7JrAulueJiIhIbNQ3i4hIOot1D+hthmHMxy713gB8IepX2hmxiIiIxJf6ZhERSV+WZWX813nnnfdWqmPQZ5pcn2cifiZ9nvT/mmifaaJ9Hn1N/D/fifaZJtrnmYifSZ8n/b8m2mdKxueJ9RxQERERERERkagoARUREREREZGkmCgJ6N2pDiABJtpnmmifBybeZ9LnSX8T7TNNtM8jw03EP9+J9pkm2ueBifeZ9HnS30T7TAn/PHE7hkVEREREREQknIkyAyoiIiIiIiJpLtZjWNKGYRi3AGdhl51vBT5tmub21EYVG8Mwfgh8AvAB7wOfMU2zPbVRjZ9hGOcB3wUWAEeapvlWaiMaH8MwlgE/A1zAr03TvC3FIcXEMIzfAMuB1igPq09rhmHUAfcD1dj/HtxtmubPUhvV+BmGkQO8BGRj/5v9R9M0b0ptVLEzDMMFvAU0m6a5PNXxSGKob05/6pvTk/rm9Ka+OTYTaQb0h6ZpHmKa5mLgr8B/pTqgOHgWWGia5iHABuCGFMcTq1XAOdh/YTPS4F/MO4HTgA8BFxqG8aHURhWze4FlqQ4ijvzA10zTXAAcDVyd4X9G/cBJpmkeCiwGlhmGcXSKY4qHa4C1qQ5CEk59c/pT35ye7kV9czpT3xyDCTMDappm55Bv84GM39xqmuYzQ759HTg3VbHEg2maawEMw0h1KLE4EthkmuZmAMMwHsQe3V+T0qhiYJrmS4ZhzEh1HPFimmYL0DL4312GYawFasnQPyPTNC2ge/Bb9+BXRv/7ZhjGNOAM4HvAtSkORxJIfXP6U9+cntQ3pzf1zbGZMAkogGEY3wMuAzqAJSkOJ97+A3go1UEItUDjkO+bgKNSFItEMNh5fxh4I8WhxGRwdP9tYA5wp2maGf15gJ8C1wGFqQ5EEk99sySB+uYMor45bSWtb86oBNQwjOew144f6EbTNB8zTfNG4EbDMG4Avgik/VrsSJ9psM2N2EsXfpfM2MYjms+T4RyjXMvoEa+JyjCMAuBPwFcOmIXJOKZpBoDFhmGUAI8ahrHQNM1VqY5rPAzD2Len6W3DME5MdTwSO/XN6pvTgPrmDKG+OT0lu2/OqATUNM2lUTb9PfAEGdDJRfpMhmFcjr0J/eOD0/1pbQx/RpmqCagb8v00IKMLakxEhmG4sTu435mm+Uiq44kX0zTbDcN4EXtfUEZ2csCxwJmGYZwO5ABFhmE8YJrmJSmOS8ZJfbP65jSgvjkDqG9Oa0ntmzMqAQ3HMIy5pmluHPz2TGBdKuOJh8GKbtcDHzNN05vqeASAN4G5hmHMBJqBC4CLUhuSDGUYhgP4X2CtaZo/SXU8sTIMoxIYGOzgcoGlwA9SHNa4maZ5A4NFWwZHWb+u5HPiUt8sSaK+Oc2pb05vye6bJ0wCCtxmGMZ87NLODcAXUhxPPPwCu7zzs4PFAV43TTNjP5dhGJ8Efg5UAk8YhrHSNM1TUxzWmJim6TcM44vA09il3n9jmubqFIcVE8Mw/gCcCFQYhtEE3GSa5v+mNqqYHAtcCvzbMIyVg9e+ZZrm31IYUyymAvcN7jVxAqZpmn9NcUwi0VLfnObUN6cn9c1pT31zDByWlfYrR0RERERERGQCmEjngIqIiIiIiEgaUwIqIiIiIiIiSaEEVERERERERJJCCaiIiIiIiIgkhRJQERERERERSQoloCIiIiIiIpIUSkBFREREREQkKZSAioiIiIiISFL8/2/PQw995NV4AAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 1152x432 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "e7F4DSfMWCaL"
      },
      "source": [
        "[back to outline](#outline)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "HCwqwHFTWCaM"
      },
      "source": [
        "## Naive Baiyes model <a name = 'baiyes'></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "We4lCzG7WCaM",
        "outputId": "c32d29d1-a664-43cb-f487-460c5a49b859"
      },
      "source": [
        "estimator = naive_bayes.GaussianNB()\n",
        "estimator.fit(train_data, train_labels)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "data": {
            "text/plain": [
              "GaussianNB(priors=None, var_smoothing=1e-09)"
            ]
          },
          "execution_count": 55,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Xbe8BL09WCaN",
        "outputId": "68d3c2aa-3b42-4423-9f4a-183f258987ff"
      },
      "source": [
        "plot_decision_surface(estimator, train_data, train_labels, test_data, test_labels)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 1152x432 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1JuCtXPfWCaO",
        "outputId": "4f538041-a6df-478b-db9c-e976e150182d"
      },
      "source": [
        "estimator.theta_"
      ],
      "execution_count": null,
      "outputs": [
        {
          "data": {
            "text/plain": [
              "array([[-1.12548408,  1.14728805],\n",
              "       [ 1.00154542,  0.58396415],\n",
              "       [ 0.7580685 , -1.18192183]])"
            ]
          },
          "execution_count": 57,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qmilgavhWCaP",
        "outputId": "d8bcef8e-4816-4ecc-8998-268cfe1d9b49"
      },
      "source": [
        "estimator.sigma_"
      ],
      "execution_count": null,
      "outputs": [
        {
          "data": {
            "text/plain": [
              "array([[1.10302786, 1.3564884 ],\n",
              "       [0.02990074, 0.81074094],\n",
              "       [1.46716917, 0.79664852]])"
            ]
          },
          "execution_count": 58,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sFXflwMzWCaQ",
        "outputId": "c641b839-3269-450b-94ba-928f9de40f76"
      },
      "source": [
        "estimator = naive_bayes.GaussianNB()#priors = [0.5, 0.5])\n",
        "\n",
        "train_data, test_data, train_labels, test_labels = model_selection.train_test_split(\n",
        "    circles[0], \n",
        "    circles[1],\n",
        "    test_size = 0.3,\n",
        "    random_state = 0)  \n",
        "\n",
        "plot_decision_surface(estimator, train_data, train_labels, test_data, test_labels)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 1152x432 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ]
    }
  ]
}